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Harvard Brain Science Initiative: HBI Postdoctoral Pioneers Program Eligibility: Mid-to late-stage postdoctoral researchers conducting basic neuroscience research in areas outside of their lab’s
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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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Education and the Curriculum Fellows Program to align and strengthen the postdoc RCR course and the graduate student Responsible Conduct of Science (RCoS) course. Other tasks as assigned Physical Requirements
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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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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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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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research skills, evidenced by high-quality publications in top-tier machine learning/AI conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading
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lab is seeking a highly motivated postdoctoral fellow to join the research program to explore radical-based mechanistic enzymology, studying PCET within ribonucleotide reductase (RNR). This position is
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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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Details Title Postdoctoral Research Position in Data Science/ML for Assessing Societal Impacts of AI Data Centers School Harvard T.H. Chan School of Public Health Department/Area Biostatistics