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input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of
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the applicability of aptameric scaffolds in designing synthetic immunological modulators and other cellular modulators. The Mallikaratchy laboratory is a chemical biology and molecular targeting lab that apply
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modeling tools and HDL simulators to validate functionality. Collaborate closely with algorithm designers to co-optimize architecture. Publish results in high-impact journals and conferences. Qualifications
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, non-tenure track) position. The Lee lab lab focuses on understanding the molecular mechanisms that drive aging and age-related diseases, with a particular emphasis on mitochondrial biology and metabolic
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for AI based algorithms. Research experience in these areas will be highly valued. The successful candidate will also contribute to the formulation and submission of research publications, development
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Temple University, CST Biology Position ID: Temple -BIOLOGY -RAP [#30052] Position Title: Position Location: Philadelphia, Pennsylvania 19122, United States of America [map ] Subject Area: Biology
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and structural biology, and biomedical research. With approximately 30 scientific departments and research groups and about 750 employees, the MPIB is one of the largest institutes of the Max Planck
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areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. You will be creating data-driven algorithms which can solve state estimation problems in fluid
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control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
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formulation, which displays striking similarities to that used by the Computational Fluid Dynamics (CFD) community, has inspired the investigators to adopt conventional CFD algorithms in the novel context