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Entrepreneur Partnerships Posting Number R260049 Posting Link https://www.ubjobs.buffalo.edu/postings/61677 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary
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: machine learning or deep learning (e.g. PyTorch) scientific data pipelines or large datasets knowledge graphs or structured data systems GPU or distributed computing scientific machine learning or physics
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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reproducibility, Knowledge of deep-learning methods, At least one first author manuscript in the context of omics data analysis in an international peer-reviewed journal in good track for publication (to be
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Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department
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cardiovascular applications, using integrated computational and experimental methods. The group focuses on developing a deep understanding of how mechanical stimulation regulates growth and remodeling, with
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, Arkansas Tech University is a comprehensive public institution with a rich history, maintaining regional accreditation from the Higher Learning Commission (HLC) and classification as a Southern Regional
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Affairs , the Dean is responsible for the overall operations of the college, including coordinating and assessing academic/instructional programs, improving academic excellence in teaching and learning
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: Experience with probabilistic graphical models, time series analysis, or deep learning Familiarity with reproducible research practices and open-source collaboration Interest in interdisciplinary applications
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experience in early-stage startups, including business development and transactional engagements, and/or successful private fundraising from venture capital, angel investors, or strategic partners. Deep