318 verification-computer-science-"Multiple" Postdoctoral positions at Nature Careers
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. Close collaboration with our neighboring Departments (Mechanical Engineering, Electrical & Computer Engineering, Molecular Biology & Genetics, iNano, Biosciences, Food, Agroecology, and Chemistry) is a
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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interdisciplinary, and together we contribute to science and society. Your role We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning
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cells. For more information about our research, please see the following publications and website: Science 381: eadd6696 (2023); PMID: 37499037 Science Advances 8: eabo0404 (2022); PMID: 35857842
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Urbana-Champaign Institute (the ZJU-UIUC Institute) invites highly qualified candidates for multiple tenure-track faculty positions at all levels and postdoctoral researchers in areas of engineering and
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(independently and in our team) involvement in teaching across different life science study programs at the Faculty of Medicine Required skills: Ph.D. (or comparable) in Bioinformatics, Computational Biology
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, Shanghai, China - Number of Openings: 3-4 Research Directions Research Project: Brain-Computer Interface and Neuromodulation Technology for Clinical Applications Research Goals: Establish specific