AI in Science & Technology
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@ai_sci_tech
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πŸ’  CORNELL CS4780 "Machine Learning for Intelligent Systems"
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🌍 https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS&fbclid=IwAR2w5DnH6Oit3Vjk_zG-AQZth8cw7cYya4XcjHgi2Wqam7VD15DMyH0eQyM
❇️ Remote ML engineer Python/c++
πŸ’Ž Β£30k – Β£80k β€’ No equity
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❇️ Remote Computer vision/ML engineer
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❇️ Ants Lead AI-based Transportation
1910.07291.pdf
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❇️ Newton vs the machine: solving the chaotic three-body problem using deep neural networks:

"Our results provide evidence that, for computationally challenging regions of phase-space, a trained ANN can replace existing numerical solvers, enabling fast and scalable simulations of many-body systems to shed light on outstanding phenomena such as the formation of black-hole binary systems or the origin of the core collapse in dense star clusters."
❇️ Remote Data Scientist / AI Engineer
πŸ’Ž $0k – $50k β€’ 5.0% – 10.0%
πŸ’  Strong Technical partner to help build and take care of our Platform.

🌍 https://angel.co/company/etinx/jobs/639274-data-scientist-ai-engineer
Dear Machine Learners,

we have opened two Ph.D. positions for machine learning-based anomaly searches for new physics with CMS.

Please consider applying until 13. December or forwarding the announcement to suitable candidates.

More information is available at:
https://labs.inspirehep.net/jobs/1765931

Thank you &
Best regards,
Gregor Kasieczka.
Graph_Algorithms_Neo4j.pdf
10.2 MB
πŸ’Ž Free Ebook
❇️ Graph Algorithms: Practical Examples in Apache Spark and Neo4j
πŸ”Ά By Mark Needham & Amy E. Hodler,
πŸ›‘ Published by O'Reilly Media, Print Length: 250 pages
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πŸ’Ž Remote Data Scientist/Machine Learning Engineer

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