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Position Details Position Information Recruitment/Posting Title Post-doctoral Associate, Plant Molecular Biology for Vaccinium Breeding Department SEBS-Plant Biology Salary Details $63,968 minimum
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molecular dynamics, docking (e.g., IFD), metadynamics, and free energy perturbation (FEP) techniques. Construct and contribute to the development of software tools for simulation and analysis. Integrate and
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; representation from three continents). Our lab’s strength lies in integrating multiple disciplines: Single-cell microfluidics Quantitative (image) analysis Mathematical modelling Microbiology Molecular biology We
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) analysis Mathematical modelling Microbiology Molecular biology We approach science with the view of physics, aiming to identify principles behind complex systems. We collaborate closely with engineers
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. The postdoctoral researcher will be responsible for performing quantum mechanical (QM) calculations, molecular dynamics (MD) simulations, and force field parameterization to support ongoing interdisciplinary
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procedures of Stony Brook University. The incumbent will work on research projects related to development of next-generation sequencing-based spatial omic technologies for in-depth study of molecular
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of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts are supported by
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Postdoctoral Researcher (gn*) Life Science Reference Number: 10899 Fixed term of 3 years | Full time with 38,5 h | Salary Grade TV-L E13 | European Institute for Molecular Imaging We are UKM. We
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University of California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
considered if the position has not yet been filled. Position description POSTDOCTORAL SCHOLAR - ROMERO LAB The Romero lab in UCLA’s Department of Microbiology, Immunology and Molecular Genetics is seeking
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular