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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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, 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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. 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
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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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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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interdisciplinary research—which includes access to HiPerGator, one of the most powerful high-performance computers at a US public university (www.rc.ufl.edu/services/hipergator/ ) and NaviGator AI, an API providing
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performing experiments - with a focus on protein mass spec data generation and analysis prepares and contributes to manuscripts, grant applications, and research presentations supervises group members
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method based on Skyline software or equivalent is also preferred. If selected for this position, you will immediately be immersed into a dynamic research environment with multiple high-end Orbitrap and
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program . Application Materials Required: Cover Letter