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Machine Learning and Computational Biology Apply for this job See advertisement About the position Applications are invited for a full-time 3-year Postdoctoral position in Machine Learning and Computational
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of Mathematics and Computer Science, which provides a vibrant, inspiring, collaborative, and highly international environment for your work. Due to the postdoctoral appointment nature as a career-development
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Harvard Brain Science Initiative: HBI Postdoctoral Pioneers Program Deadline Month: October (LOI) and November (full application) Description: Harvard Brain Science Initiative (HBI) aims to support
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international collaboration partners Support and administer internal web and Linux servers Your Profile Academic degree (master's and Ph.D.) with a background in computer science, bioinformatics, physics
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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chemistry and experience with quantum chemistry packages (e.g., Molpro, NWChem) Strong skills in developing and implementing computational and numerical methods; familiarity with parallel computing on CPU/GPU
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interdisciplinary, and together we contribute to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address
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interdisciplinary, and together we contribute to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address
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of circumstances under which university scientific advice is given to private companies; A background within scientific computing, using tools such as R, Julia or Python; Knowledge of using data science in relation
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Postdoctoral Associate - National Tutoring Observatory, Information Science The National Tutoring Observatory (NTO) will be centered at Cornell’s Ann S. Bowers College of Computing and Information Science