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, and commercialization through AI-enabled approaches. The successful candidate will develop, implement, and apply computational, machine learning, cheminformatics, structural modeling, and data science
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interpretability, explainable AI, causal representation learning, model probing, attribution methods or faithfulness evaluation. Strong programming skills in Python and experience with modern machine learning
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records commensurate with grade Desirable criteria Ability to carry out statistical analysis of genetic data Up to date knowledge of machine learning methods applied to clinical and omics data Experience in
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. The University of Michigan offers an exceptional environment for computational and data-driven pharmaceutical sciences. Faculty benefit from world-class resources in artificial intelligence, machine learning, high
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Information Engineering Machine Learning and Data Science Embedded Systems and hardware-oriented development Modeling and simulation of complex systems Experience with Python, MATLAB, and/or C/C++ Strong
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Apply now Job no:537025 Work type:Officer of Administration Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants, Instruction, Engineering/Biomedical Engineering
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circuits and population dynamics; computational and theoretical studies of brain development, organization, and function; models of perception, cognition, learning, and behavior; and statistical and machine
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experimental data. Requirements - More than 3 years of Bachelors/Masters or a Ph.D. in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Biomedical Engineering, Electrical Engineering
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, organization, and function; models of perception, cognition, learning, and behavior; and statistical and machine-learning approaches for understanding neural data and brain function. We are particularly
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of the application deadline. Preferred factors: The selection will value candidates with interest and/or experience in the following areas: a) Demonstrated experience in machine learning and deep learning techniques