2,419 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" Postdoctoral research jobs in United States
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workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in
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letters) for at least three professional references. Applicants can learn more about the Department of Biological Sciences at the University of Memphis and the Mandel lab at https://www.memphis.edu/biology
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or similar) Preferred Qualifications: Experience with MRI/fMRI/DTI, PET, multimodal fusion, and/or machine learning Strong programming skills (Python/MATLAB), version control, and HPC workflows Special
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to efficiently collect/organize/analyze data and initiate new/modified procedures/techniques based on the latest developments are expected. Certificates/Credentials/Licenses n/a Computer Skills General office
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. Through our rich collection of people, ideas, and perspectives, we engage in a healthy, constructive dialogue to learn, inform our research, and make discoveries. See https://math.oregonstate.edu for more
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of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL
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on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Lab website: https://sites.wustl.edu/ushikilab/ . Trains under the supervision of a faculty
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and experience using geographic information systems software are also required. Knowledge of Git is a plus. The successful candidate must be willing to learn new methods as needed and have the ability
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in computational methods, particularly those with backgrounds in machine learning, artificial intelligence (AI), statistics, bioinformatics, or analysis-acceleration technologies. Candidates should
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learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in porous materials Develop novel machine learning model for predicting