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Postdoctoral Associate | Mitochondrial Genomics | Lake Lab — Yale University, Department of Genetics
technologies Develop and apply new tools to study mtDNA mutations, copy number, and dynamics Characterize the cellular and mitochondrial consequences of mtDNA mutations using molecular, imaging, and functional
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Duties: Perform and analyze ReaxFF reactive molecular dynamics simulations on 2D-material growth Connect the results from these simulations to data science methods and Computational Fluid Dynamics Perform
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to scale-up and validation of process engineering. CBS projects aim at an in-depth understanding of the molecular mechanisms of all transformations in order to propose new original alternatives in terms
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Cancer biology, Molecular and Cell Biology, Immunology or a closely
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understanding of the molecular mechanisms of all transformations in order to propose new original alternatives in terms of efficiency, environmental friendliness and sustainability. Job Description We are seeking
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responses. Structural Bioinformatics & Biophysical Modeling: Protein structure prediction (e.g., AlphaFold, RoseTTAFold, ESMFold), molecular dynamics (MD) simulations, or protein-protein/antigen-antibody
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, RoseTTAFold, ESMFold), molecular dynamics (MD) simulations, or protein-protein/antigen-antibody docking to investigate viral spike/capsid architecture, thermal stability, and immune epitope accessibility. AI
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—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive
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discipline. Strong background in electronic structure methods and molecular simulations. Experience with post-Hartree-Fock methods (ideally CC and EOM-CC) and with quantum embedding strategies is highly
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discipline. Strong background in electronic structure methods and molecular simulations. Experience with post-Hartree-Fock methods (ideally CC and EOM-CC) and with quantum embedding strategies is highly