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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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molecular model-ing studies at varying levels of precision: • using force field (MF) modeling for interaction models between the target enzyme and different substrates; • using Quantum/Classical Mixed Method
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a Research Infrastructure? No Offer Description Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates
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insights into MCTP action and ER tubularization at PD, the post-doc will use molecular modeling and dynamics. - undertake simulations - present results in team meetings - present results as scientific
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environment, creating molecular aggregates, etc. Integrate results of ab-initio calculations into models addressing light-light-matter interaction, particularly in the context of photonic lattices where
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complex socioeconomic, environmental, and molecular data in the context of multigenerational families. · (Co-)developing predictive models based on very large registry, medical, social/environmental
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Alzheimer’s, Parkinson’s and Huntington’s disease. Postdoc will work with Drosophila models of these disorders using genetic, statistical, biochemical and other molecular approaches. This will require working
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to design and conduct experiments, be responsible for accurate record keeping and contribute to overall maintenance of the laboratory. Background in cancer cell biology/models, genetics, molecular biology
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immunology, nanotechnology, materials science, and molecular engineering, bringing together tools such as flow cytometry, animal models, and bio/nanomaterial synthesis. Our long-term goal is to establish
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for safer and more effective cancer treatment. These will include the use of biochemistry, cell biology, immunology, molecular biology, proteomics, animal modeling and mouse genetics, translational medicine