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, offering broad opportunities for scientific growth, mentorship, and professional development. Required Qualifications: Doctoral degree (PhD, MD, or equivalent) conferred by start date Demonstrated experience
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beginning in Summer/Fall 2026 for a one- or two-year term. The Rock Center’s Postdoctoral Fellows Program is designed for promising new PhDs—particularly those trained in accounting, finance, economics, or
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: The candidate must have a PhD and extensive experience in modern deep neural network-based techniques. The ideal candidate should have: A PhD and a strong record of research or applied work in deep learning, with
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) Application Deadline 3 Aug 2026 - 21:59 (UTC) Country Czech Republic Type of Contract Temporary Job Status Part-time Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme
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the Stanford Woods Institute for the Environment’s Realizing Environmental Innovation Programs (https://woods.stanford.edu/research/funding-opportunities/realizing-environmental-innovation-program(link is
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of recently published analyses assessing the impact of aggregation, outcome measure, and other analytic choices on results developing and implementing a computational model to simulate transmission dynamics
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Medicine) Contribute to grant writing and interdisciplinary project development Required Qualifications: PhD in Human Computer Interaction, Information Science, Computer Science, Biomedical Informatics
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scholars in all areas of Buddhist Studies whose research interests would complement and augment the work of our current faculty and graduate students, and whose work promises to significantly contribute
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(but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $80,000 - $85,000 Postdoctoral Research Fellow - Computational Neuroscience and
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for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data