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Field
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. Implement and optimize data representations and pipelines suitable for machine learning and uncertainty quantification. Collaborate with AI/ML experts to design and test inference methods that map
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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Apply now to Postdoctoral Employee - Physics/Astrophysics - Physics Department Job #JPF04996 Physics / College of Letters & Science - Mathematical & Physical Sciences / UC Berkeley Position overview
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characterize polymer and dendrimer-based nanomaterials for targeted drug, and gene delivery. Develop and optimize linker chemistries and conjugation strategies for attaching therapeutics, targeting ligands, and
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energy system optimization and control Engineering, Applied Mathematics or a comparable quantitative discipline Very good software development and data analysis skills Inquisitive and passionate about
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species. It can be fine-tuned for downstream applications such as predicting genetic perturbations, optimizing photosynthetic apparatus for performance, selecting top performing genotypes for various
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Computer Science Experimental Plasma Physics Material Science Mathematics Mechanical Engineering Nuclear Engineering Physics Plasma-Material Interfacial Science Theoretical Plasma Physics A complete application
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Laboratory (CIRL) – http://cirl.memphis.edu – in the Department of Electrical and Computer Engineering, The University of Memphis. The postdoctoral researcher will have the opportunity to work with Dr
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be
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. Currently, a number of mathematical models exist to describe the onset and progression of Alzheimer’s Disease and the effects of anti-amyloid therapies on disease progression. The models are informed by a