33 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Postdoctoral research jobs at Harvard University
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Fulbright U.S. Scholar Postdoctoral/Early Career Grants Eligibility: US citizenship required. Deadline Month: Various, announced February Description: The Fulbright U.S. Scholar Program offers
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. The CfA hosts a strong research program in astrophysics and provides a stimulating environment. Special Instructions Letters of reference should be submitted by three “referees” and must be received by
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experience in radio data analysis, optical/IR spectroscopy, space-based imaging analysis (optical/X-rays), and other time-domain science are encouraged to apply. Resources include programs with HST, Chandra
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storage applications. Previous experience with scanning probe microscopy is beneficial but not compulsory. Successful candidates will be expected to contribute to material synthesis, plan and lead research
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FAS Office of Postdoctoral Affairs: Postdoctoral Awards for Professional Development (PAPD) Deadline Month: This program is currently on pause. Description: These awards are designed to support the
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in top-tier machine learning/AI conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch
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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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students on foundational machine learning and domain-informed scientific applications. These positions are especially well suited to candidates prepared to contribute to advanced research programs in modern
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, spatiotemporal modeling, high-dimensional statistics. ● Proficiency in statistical programming (R and/or Python) and good practices for reproducible research. ● Experience working with large datasets and cloud
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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