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internal and external interactions of an organism, i.e. of its dynamics. Yeasts demonstrate a similar variability in resistance in response to oxidative stress, which makes them an ideal model object
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uses long timescale molecular dynamics (MD) simulations, integrated with experimental observables (especially cryo-electron microscopy data), and machine learning tools to better capture the dynamics
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, and process modelling. The position is available immediately, with a start date as soon as possible. Where to apply Website https://www.academictransfer.com/en/jobs/357300/postdoc-position-in-microbial
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-based methodologies for protein structure prediction and conformational ensamble • Molecular docking and cofolding • Molecular Dynamics simulations • Enhanced sampling Molecular Dynamics simulations Your
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable
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Job Description The Department of Medicine: Hematology and Oncology has an outstanding opportunity for a Research Scientist Engineer 3 to join their team. Field of Research Study of the molecular
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to submit an attested copy of their passport’s information page containing their photograph and personal details. Read about the PhD education at SLU at https://www.slu.se/en/study/programmes-courses/doctoral
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help reconstruct biodiversity time series and assess how forest management impacts species dynamics. The position will involve lab and field work, bioinformatics, and ecological modeling. Results will
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based on salt melts. The methods are primarily molecular dynamics simulations and small DFT calculations, but the software COSMO-RS may also be used. The postdoctoral fellow will be part of Prof. Patrik
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group of researchers addressing complementary topics and methodology such as Experimental calibrations of volatile solubility laws, Molecular Dynamic simulations of silicate melts, Petrology of melting