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Field
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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in the ARPA-H EVIDENT TA-1 EVIDENT-MAP / SENTINEL project — a clinical research program investigating the mechanisms and outcomes of psychedelic-assisted therapy and contemplative practice
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in our Core Humanities program, if there is a reasonable fit. Required Qualifications Ph.D. in Philosophy or related field. Completion of a doctoral degree in the appropriate discipline is required
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the last five years. A minimum of 3 years of experience in (a) design and operation of experimental thermal/fluid systems, (b) mechanical systems and instrumentation, (c) fluid dynamics, combustion, and heat
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-Based Science and Technology and Advanced Research) project. This position is funded by the NSF EPSCoR RII E-RISE program and focuses on the end-to-end development of high-purity germanium (HPGe
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, designing and testing poly(A)-blocking antisense morpholino oligonucleotides (PMOs) in vitro and in vivo using prostate cancer cell lines and patient-derived xenograft (PDX) models. Function 2 (25%) Perform
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recordings. Experience with large-scale datasets, distributed training, or high-performance computing environments. Experience with foundation model training, post-training, adaptation, or evaluation
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societal contexts. Through advanced computational methods and collaboration, HELM addresses global challenges by blending eco-social health determinants, human-natural system interactions, and convergence
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on the University of Utah campus. We are a highly dynamic, driven group of over 170 faculty, staff, and students. The overarching goals of the SCI Institute’s scientific computing research are to create new
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. Experience with GPU-based training and high-performance computing. Interest in translating methodological contributions into high-impact medical AI venues (e.g., Nature Medicine, Nature Machine Intelligence