81 computer-algorithm-"UNIS"-"Helmholtz-Zentrum-Geesthacht" Postdoctoral positions at University of Minnesota in United States
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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Previous Job Job Title Post-Doctoral Associate - Computation (Hanany) Next Job Apply for Job Job ID 369600 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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) and developing meaningful scaled score formulas and metrics. The post-doctoral associate will support multiple aspects of this work, including conceptualization and design of the scale scores, computing
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job An NIH-funded postdoctoral position is available for a two-year program in the laboratory of Brendan Dougherty within
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Graduate Program (MPaT) , teach fundamental principles of pharmacology to students in professional degree programs (MD, DDS, and MD/PhD), and provide individualized training experiences for our strong
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and dependent care flexible spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight
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manuscripts About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that collaborates with other fields such as chemistry, computer
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mechatronics ● Proficiency in computing languages such as C++, Python & C#. ● Ability to collaborate effectively with people from a variety of communities, backgrounds, and identities. Preferred