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interpretability and predictive accuracy. We want to explore the structural parameters in choice models (e.g., random coefficient logit models) and obtain valid inferential results using machine learning-enhanced
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well on various excellence ranking lists. FEBRI, the graduate school and research institute of the Faculty of Economics and Business has one PhD position in the field of Machine learning meets choice
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PhD Machine learning meets choice models (1.0 FTE) (V24.0232) « Back to the overview Job description Since its foundation in 1614, the University of Groningen has enjoyed an international reputation
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Post-doc in Machine Learning for Image Processing on Embedded Devices (V24.0155) « Back to the overview Job description We are looking to fill a two-year postdoctoral researcher position as a part
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project will be to develop machine learning models capable of robustly classifying images of agricultural crops based on markers for health state of the crop and deploying those models on a variety of low
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project through DigiAgro3 2024. The main goal of the post-doc project will be to develop machine learning models capable of robustly classifying images of agricultural crops based on markers for health
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, molecular dynamics, or Quantum Mechanics/Molecular Mechanics, or you are actively working on incorporating machine learning/AI into your computer-aided drug design approaches, we would be very interested in
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ranking lists. The Faculty of Behavioural and Social Sciences excels in teaching and research in the fields of human behaviour, thinking, learning, and how people live together. We work on societal issues
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are actively working on incorporating machine learning/AI into your computer-aided drug design approaches, we would be very interested in hearing from you. We offer you a full-time position and
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- and ligand-based drug design, de novo and fragment-based drug design, molecular dynamics, or Quantum Mechanics/Molecular Mechanics, or you are actively working on incorporating machine learning/AI