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electron tunneling between the edges of graphene electrodes, with the goal of distinguishing individual molecules, or individual molecular building blocks. The work will involve the following elements
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studies that model intracellular functions through reconstitution experiments and numerical simulations. * details of the business RIKEN is Japan's largest and most comprehensive research organization
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simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization
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refine LCA models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
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processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognized for its excellence in connecting
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fundamental questions in fungal ecology and advance your research career in a dynamic and international research environm. Your profile We are seeking a highly motivated researcher with a PhD in fungal ecology
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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researchers with diverse skill sets and a common interest in elucidating the extrinsic and intrinsic signals that regulate stem cell behaviour. The Spagnoli lab is a highly dynamic team, doing exciting science
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
. Preferred Qualifications, Competencies, and Experience Programming skills (e.g., python, bash scripting, Fortran, C++ and CUDA), expertise in computational modeling (such as Deep Learning, Molecular Dynamics
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molecular dynamics simulations, applicable to materials science, biomolecules, or a related field. Programming experience (e.g., Python), with a strong background in developing and applying computational