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Number: JR91929 Position Summary Empty heading Functional Genomics in Neuroscience The Dougherty lab is seeking recent or upcoming PhD graduates to lead research in functional genomics in the nervous
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Position Summary Functional Genomics in Neuroscience The Dougherty lab is seeking recent or upcoming PhD graduates to lead research in functional genomics in the nervous system. We have a variety of
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their electronic structure Required Knowledge, Skills, and Abilities: Experience with scientific programming Requires a PhD in condensed matter physics, materials science, physical chemistry, computational science
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redox balance. Our studies explore how p53 integrates metabolic cues by acting as both a sensor and regulator of cellular metabolism. In parallel, we are identifying metabolic changes that promote tumor
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-directory/sophie-x-deng-md-phd To apply, please visit: https://recruit.apo.ucla.edu/JPF10653 The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will
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scales through component-based parallelism. The focus of the post-doc position is to design and implement this pipeline -- developing native reasoning for rich combinatorial constraints, creating tools
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
is designed for candidates who have completed their PhD within the last two years and have experience as postdocs or industry researchers. This position offers a 12-month term with potential
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
is designed for candidates who have completed their PhD within the last two years and have experience as postdocs or industry researchers. This position offers a 12-month term with potential
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models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization. Experience in multi-modality data analysis (e.g., image
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration