748 postdoc-machine-learning research jobs

Postdoc in Machine Learning

programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description We are looking for a Postdoc in Machine Learning who will conduct research focussed

Postdoc Positions in Machine Learning and Ab Initio Simulations: Marx Group

Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc Positions in Machine Learning and Ab Initio Simulations: Marx Group

Postdoc in Computational Genomics – Machine Learning for Multi-Omics Profiling of Cancer Evolution

About the German Cancer Research Center (DKFZ) The German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ) is Germany’s largest biomedical research institute and a member of the Helmholtz Association of German Research Centers . Over 3,200 staff members from 88 nations are...

2-year Postdoc position available at Simula in Explainable Machine Learning and NLP for software engineering

of Autonomous Systems at Simula, we are looking for a Postdoctoral researcher to work on explainable machine learning and natural language processing (NLP) for software engineering. The position will last for 2

Postdoc position in Machine Learning

collaborations with academia, industry, and society. The Data Science & AI division  within CSE engages in research and education within a growing area encompassing Data Science, AI, Machine Learning, and its

Postdoc in machine learning and reinforcement learning

Website https://www.academictransfer.com/en/338925/postdoc-in-machine-learning-and-rein… Contact City Amsterdam Website http://www.vu.nl/ Street De Boelelaan 1105 Postal Code 1081 HV STATUS: EXPIRED

Postdoc position in Machine Learning

the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data- Driven Studies of Membrane Protein Function, Evolution, and Disease. We are searching for a highly motivated postdoc to join

Postdoc position in Network Science- Machine Learning

work with Prof. M. Ángeles Serrano and Prof. Marián Boguñá at the interface between Network Science and Machine Learning. The goal is to merge the best of the two worlds to produce a new generation of

Postdoc Machine Learning for Dynamic 6G Networks Optimization

) that can benefit either from: (i) continual learning, and (ii) spiking neural networks implemented in neuromorphic processors. Design and develop the machine learning algorithms able to provide a good

Postdoc in Machine Learning and Computational Chemistry

the University of Luxemburg, is to develop reliable, efficient, and accurate machine learning force fields (MLFF) for molecular dynamics simulation of systems sizes ranging from ~1000 to 100.000 atoms while