31 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at Virginia Tech
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genetically engineered monogenic mutant mouse hearts, transmission and super-resolution microscopy, and telemetry. Novel peptide interventions targeting parts of the intercalated disc different from the areas
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, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation
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include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience with data
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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. - Interest in mentoring graduate students and contributing to the strategic direction of a dynamic research program. Exempt: Not eligible for overtime Appointment Type Restricted Salary Information 53,550
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candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
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his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In
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, particularly turbulence in the boundary layer; developing new high-speed measurement techniques, particularly using optical diagnostics methods; augmenting experimental data with Computational Fluid Dynamics
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deploying large-scale genetic, biologic, peptide, and small molecule approaches to define domains and specific molecular mechanisms that can be exploited for therapeutic development against emerging cancer