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the developed models into the software product generated as a result of the project. The hired researcher will help develop, implement and evaluate new machine learning methods in these areas Where to apply
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, Applied Mathematics, or Computational Physics/Chemistry with a strong ML focus. Technical: Deep understanding of Deep Learning (Transformers, GNNs, Auto-encoders). Programming: Proficiency in Python and
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intersection of machine learning and life sciences, developing next-generation models that improve our understanding of human biology and enable more proactive, personalized healthcare. As an Industrial PhD
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well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
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science, or a related field; experience with using and building machine learning models, developing and validating computational analysis workflows, and developing circuit models is preferred; excellent
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to collaborate with other research groups. The time to apply and improve your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical
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of machine learning researchers, engineers, and domain scientists. This collaborative environment offers a unique opportunity to work on cutting edge AI models, with a focus on generalization and
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: Computational Linguistics, Language Acquisition, Cognitive Modeling, Machine Learning The Department of Linguistics at the University of Michigan invites applications for a one-year Postdoctoral Research Fellow
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(or equivalent) in data science, applied mathematics, electrical engineering, or a related field. • Strong background in machine learning and/or statistical modeling. • Good written and oral communication skills
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/ML for the chemical sciences. Develop and teach lectures and hands-on computational laboratories covering data curation, molecular representations, machine learning models, deep learning, generative