23 experiment-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Harvard University
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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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candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field Minimum Number of References Required 2 Maximum Number
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institutional leaders to design, implement, strengthen, and broaden postdoctoral fellowship experiences for scientific advancement and professional and career development in the Harvard Longwood community
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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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Smithsonian Astrophysical Observatory (SAO). We welcome applicants, who as a component of their research statement, discuss their experience in mentoring, outreach, and teaching. Current senior members
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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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of experience, training or qualification, field of scholarship, and accomplishments in the field Minimum Number of References Required 3 Maximum Number of References Allowed 3 Keywords
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on track to complete all PhD requirements by the expected start date of October 15, 2026. Demonstrated expertise in modern AI/ML, including deep learning and hands-on experience with frameworks such as
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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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, and multimodal modeling of protein function and cellular state. We seek candidates with strong technical preparation in modern AI/ML, a demonstrated record of scholarly achievement, and experience in