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Postdoc in the Chemical Process R&D Department

Job Description
Requisition ID: 1805666078W

Discovery Product Development & Manufacturing Sciences within Janssen Pharmaceutica N.V., is employing several hundreds of scientific researchers and specialized technicians at its site in Beerse, Belgium. API Small Molecule Development department is responsible for the development of processes for the supply of New Chemical Entities facilitating our R&D activities and, finally, commercial purposes. Moreover, new chemical processes are developed respecting our requirements concerning safety, environment, technology, economy and quality. We also are responsible for adequate information about those processes to guarantee successful development and registration of new medicines.
In the department of API Small Molecule Development, we currently have a vacancy for a postdoc organic chemistry researcher on a temporary position for 2 years:
Postdoc in the Chemical Process R&D Department
Function
You will be working in organic process research and development towards the synthesis of New Chemical Entities. This includes the generation of creative and innovative ways for new synthetic routes and solutions for problems encountered during scale-up of ongoing projects.
You will be part of a cross-functional team (Process R&D, Analytical Process R&D and Technology & Engineering).
You will report progress to the management.
You will participate actively in the experimental work.


Qualifications
Qualifications
You hold a PhD in chemistry, organic synthesis (optionally with an earlier postdoc experience).
You speak English fluently and are willing to learn Dutch.
Skills and Competencies
Keen interest in recent developments of organic chemistry and related chemical technology.
Excellent interpersonal skills.
Passionate to work in the lab and able to perform chemical experiments in state-of-the-art chemical laboratories including the of automated lab reactors.
Analyse, discuss and assess the results of the experiments and report them in formal documentation.
Excellent knowledge of the most meaningful analytical techniques: NMR, HPLC, GC, IR, UV, LC-MS.
Good reporting skills.


Primary Location
Belgium-Antwerp-Beerse
Organization
Janssen Pharmaceutica N.V. (7555)
Job Function
Chemistry
Requisition ID
1805666078W

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History Department of the University of Bern is looking for a
PhD candidate/Research Assistant

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Two PhD Positions on Atomic Layer Deposition, Netherlands, University of Twente

https://goo.gl/HjD2UH

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Dear colleagues

Please help distribute the call for a position as fully funded PhD student at the Technical University of Denmark on the above-mentioned topic.

Deadline for applications is 01 September. Please note that you can only apply online using the template on the homepage below.

https://www.dtu.dk/Om-DTU/Job-og-karriere/Ledige-stillinger/job?id=57f9a692-fa7e-4405-9bbc-0e8749160f4f

If you need further details then don’t hesitate to contact me

Thank you in advance,

Med venlig hilsen / Best wishes
Karsten

Karsten Arnbjerg-Nielsen
Professor, Urban Water Systems, Climate Change Impacts and Adaptation

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Dear colleagues

The Grassroots Radio team, led by the Madeira Interactive Technologies Institute (Madeira-ITI), seeks a researcher with an interest in the participatory design of the interfaces for community governance of networked radio stations, with a particular focus on commons-based forms of governance and cooperative management. The hired person will be collaborating with the international partners of the consortium on the identified tasks, and will have the opportunity to produce original collaborative research and joint publications with other members of the network, as well as being afforded funding for travel to partner sites, and for attending conferences and workshops. While the emphasis of this work is on the participatory design of the governance of radio stations, a candidate with strong interdisciplinary skills would be able to learn many of the domain-specific approaches on the job.

Grassroots Radio is creating a game-changing network of inclusive digital platforms for citizen engagement, community deliberation, and the free flow of information within, into, and out of geographic communities by piloting solutions for connected, inexpensive, community owned and operated radio across Europe. Building on the success of the existing RootIO platform (www.rootio.org) – with its proven commons-oriented technology and catalytic capacities for promoting collective awareness and action, participatory innovation, community resilience, and media pluralism – we are deploying and testing a network of low-power community radio stations in Ireland, Portugal, and Romania as part of the Horizon 2020 Grassroot Wavelengths project (nº 780890), funded by the European Commission.

The initial contract will be for a period of 12 months, for potential renewable up to a maximum of 24 months. More detailed info on the job and the application process:

https://euraxess.ec.europa.eu/jobs/327868

Please, circulate it to whoever you think could be interested.

Best

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The Robert Koch Institute is hiring a Research Assistant in Data Science (Machine Learning and Web Applications)

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PhD / Postdoc position to study microtubule based localization processes in Drosophila development

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Multiple postdoctoral positions available at Yale University in plant
epigenetics and plant genome engineering

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POST-DOCTORAL POSITION- Research Laboratory on Human Reproduction
Brussels, Belgium


Position available for a Post-doctoral Student within an international mobility program starting in 2018 in the Research Laboratory on Human Reproduction, Université Libre de Bruxelles (ULB) located in the Erasme Campus (Anderlecht, Brussels, Belgium). The laboratory is part of the ULB-Cancer Research Center (U-CRC).

It is supervised by Dr Demeestere Isabelle has expertise in fertility preservation, including mainly ovarian tissue cryopreservation, in vitro follicular growth and pharmacological protection against chemotherapy-induced ovarian damage.
Candidates should hold a master degree in Biomedical or Medical science, Biology or Molecular Biology, and have a PhD degree in experimental female reproduction field.
The position is funded for 2 years by the EOS grant (“Excellence of Science”), with possible 1 additional year extension.
Informal enquiries, CV and names of at least two referees should be send to:
Dr. Isabelle Demeestere

Research Laboratory on Human Reproduction

Faculty of Medicine - Erasmus Campus CP636

Free University of Brussels

808 route de Lennik, 1070 Brussels, Belgium.

T: +32 2 555 5863

F: +32 2 555 6205
E: idemeest (at) ulb.ac.be

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Research Fellow - Immersive Analytics Grid Visualisation

The Immersive Analytics Lab at the Monash Faculty of Information Technology is seeking a Research Fellow for an 8 month fixed-term appointment.

This position is part of an exciting collaboration between the Faculty of IT, the Faculty of Business and Economics, and the Monash Energy Materials and Systems Institute (MEMSI) to develop new visualisation techniques and interactive prototype systems for the smart grid domain.
With support from the Monash Net Zero Initiative whose goal is the ambitious reduction of carbon emissions at Monash University, this project will develop new systems to improve understanding of complex systems such as smart energy grids by exploiting recent technological advances in commercial Augmented Reality (AR) and Virtual Reality (VR).

As the successful candidate, you will focus on researching and creating novel visualisation methods and interaction techniques to support the high-level objectives of the project context.

You will also have a publication record that demonstrates the potential to publish in premier journals and your ability to work independently (or with limited supervision) will also be highly regarded, as will your strong written and verbal communications skills and an active creative practice.

See full job posting and application instructions at
https://careers.pageuppeople.com/513/cw/en/job/580036/research-fellow-immersive-analytics-grid-visualisation

Direct queries to Barrett Ens, at [email protected]

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Postdoctoral Fellow – Explainable machine learning in medical data

Location: Downtown Toronto, ON, Canada

Start Date: Immediately
Closing Date: Until the position is filled

The Signal Processing and Oral Communication Lab at the Department of Computer Science, University of Toronto, the Vector Institute for Artificial Intelligence, and the Toronto Rehab Institute – UHN

Description:

The Signal Processing and Oral Communication Lab (SPOClab) invites applications to the position of Postdoctoral Fellow to work on explainable models in the area of machine learning in medical data. This position will require activities ranging from foundational machine learning, big data analysis, natural language processing, and predictive modeling. This position will involve collaboration with our multi-disciplinary team across computer science and healthcare.

The duties of the successful candidate include undertaking high quality independent and collaborative research, applying for grants, and supervising undergraduate and graduate students in the research group. The candidate will be highly encouraged to establish connections and collaborate with other research groups in the Toronto AI community and our research partners across Canada and abroad.

The successful candidate will be supervised by Dr Frank Rudzicz.

This position is funded for a 2-year period. Salary will be based on the applicant’s previous experience and education. Space will be provided at the Vector Institute. For more information, see https://vectorinstitute.ai 

Requirements:
We are seeking candidates with the following qualifications:
- A PhD in Computer Science, Computer Engineering, or a related area. Applicants who have fulfilled all the requirements for PhD award may also apply.
- Advanced knowledge in machine learning, deep learning, big data, natural language processing, and predictive analytics. Experience in the healthcare sector, or in healthcare or biomedical applications, is preferred.
- Strong programming skills in Python, scikit-learn, TensorFlow, Keras, or related frameworks.
- Excellent publication record in top quality journals and conferences.
- Excellent communication skills and demonstrate strong leadership skills.

The Department of Computer Science hires based on merit and is committed to employment equity. All qualified persons are encouraged to apply. However, Canadian citizens and permanent residents will be given priority.

Application:
Applications will be accepted until the position is filled. To apply, please send:
1) a one page covering letter highlighting the relevance of your skills, knowledge and experience, and date of availability,
2) a curriculum vitae, including a full publication list, and country of citizenship,
3) a 1-page statement of your research interests, and
4) a copy of your university transcripts
to [email protected] with the subject line “Postdoc in Machine Learning for Health”

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Postdoctoral position in LIP6 (Sorbonne Université, Paris, France) - Time-dependant topic models

The Laboratoire d’Informatique de Paris 6 (LIP6) in Paris, France, has a 12 months funded full-time Post-Doctoral Researcher position available in machine learning. The main topic is to learn time-dependent topic and word representations for large scientific document collections.

The position takes place in the context of the EPIQUE project, which aims at building phylomemies (graphs of time-dependent topics). One particular goal is to leverage work conducted on latent topic models, and especially temporal adaptation of those. The focus will be on developing and implementing word/topic representation-based models adapted for phylomemies, and to exploit continuous word/topic representations.

The ideal candidate will have: 
- A PhD in machine learning, data mining or other strongly related data science topics. 
- A very solid background in computer science and mathematics. Special areas of interest include topic models, deep learning, big data processing and optimization.
- Strong publication record in the area of machine learning and data science. 
- Solid programming skills (Python, with one or more ML frameworks) to conduct experiments 
- Excellent command of English and team work capacity. 

The successful candidate will join the Database team of the DAPA department, Sorbonne Université, Paris, France, led by Prof. Bernd Amann. The candidate will have strong interactions with the MLIA team (Machine Learning and Information Access team) of the DAPA department and will be supervised by Prof. Bernd Amann and Dr. Benjamin Piwowarski. Sorbonne Université is referenced as the first French university in the academic ranking of international universities. 

Location: LIP6, University Pierre et Marie Curie, Paris (France) 
Start: September-December 2019
Duration: 1 year
Net salary (indicative range): from 1,800 Euros to 2,400 Euros per month, commensurate with experience. 

Candidates should send to [email protected] and [email protected] : 
- a CV 
- a short text explaining why their skills, knowledge, and experience make them a particularly suitable candidate for the given position   
- Their three most representative papers 
- The name and emails of two referees 

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Postdoc position in Machine Learning & Probability Calibration @ University of Tartu

For many purposes it is important that machine learning solutions would quantify the uncertainties correctly and provide well-calibrated probability estimates. Probabilistic methods, deep learning and calibration methods offer different approaches to this challenge. We are looking for an outstanding postdoctoral researcher to conduct research in the field of machine learning with a focus on uncertainty quantification and calibrated probability estimation.

The Institute of Computer Science at the University of Tartu is ranked joint first in Central and Eastern European universities according to the field-specific Times Higher Education Ranking 2017.

Application deadline: August 15, 2018
Salary: Approximately 30,000€ / year
More details: https://www.cs.ut.ee/en/jobs
More information: Meelis Kull, [email protected]

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