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, representation learning) Spatiotemporal modeling or geospatial/temporal data analysis Medium-to-Large-scale foundation models pretraining/fine-tuning paradigms Strong programming skills in Python and experience
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with Dr. William C.W. Chen and his team at USD and have the opportunity to conduct research in collaborating laboratories at world-leading institutions, such John’s Hopkins University, Harvard University
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-impact JWST datasets and opportunities to contribute to multiple ongoing programs, as well as to a broader portfolio of datasets through the JWST Advanced Deep Extragalactic Survey (JADES) collaboration
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modeling or geospatial/temporal data analysis Causal inference ● Strong programming skills in Python and experience with PyTorch, required to have experience developing code with a team through collaborative
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, strong research background in statistics and ML, programming, data analysis, strong genetic and genomic knowledge, as well as good written and oral communication skills. Additional Qualifications Special
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and international network of leading scientists and practitioners, including Professors Christopher Golden (Harvard University), James Robinson (Lancaster University), and Christina Hicks (Lancaster