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Posted on Tue, 07/08/2025 - 23:12 Important Info Deprecated / Faculty Sponsor (Last, First Name): Wang, Li Stanford Departments and Centers: Biology Stem Cell Bio Regenerative Med Postdoc
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Cornell University, Electrical and Computer Engineering Position ID: Cornell-ECE-POSTDOC [#31375] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14853
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the ability to quickly learn new things and work independently, along with previous research experience in at least one of the following areas: 1) statistical genetics/genomics/omics, or 2) deep/machine
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targets to treat anhedonia. Proposals that challenge prevailing assumptions, employ cutting-edge technologies, or integrate machine learning with neurobiological data are especially welcomed. Projects
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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data
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: https://academicpositions.harvard.edu/postings/14695 Applications accepted through March 3rd. Share this post: Tags: Teaching Opportunity , Unique Postdoc Opportunity Return to blog Categories
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on intelligent observing systems using machine learning and data assimilation methods in the ACTIVATE project. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/289326
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and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
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approaches. Machine Learning in Geotechnical Engineering: Utilising data-driven approaches to model and predict soil-structure interactions or other complex geotechnical problems. Reliability-Based
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in the analysis of nonlinear time-dependent PDEs and Operator Theory/Spectral Theory. Additional expertise in rigorous computer assisted methods (e.g. interval arithmetic) is a plus. Required