149 postdoctoral-position-in-molecular-dynamic-simulation-self-assemble-polymer PhD positions in Sweden
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implementation is advantageous (especially if in the context of protein structure) Experience with structural biology and/or molecular dynamics is advantageous Publicly available code is advantageous Experience
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) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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. The position is for four years, with the possibility to teach up to 20%, which extends the position to five years. A dynamic and inspiring working environment in the coastal city of Gothenburg . A starting
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Science with an interest in molecular and structural virology. The position at the Department of Medical Biochemistry and Biophysics at Umeå University is temporary for four years to start during spring
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largest at SLU within social sciences, humanities and design. This position will be placed at the Division of Rural Development, which conducts research, teaching and collaboration that focuses on issues
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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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supervised by Sebastian Throm. The subject area of the announced position covers kinetic theory, non-local diffusion and dynamics on graphs. The precise research direction will be determined together
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. These positions involve advanced numerical simulations and analysis of spacecraft data. The positions are full-time, 100% funded for four years and lead to a doctoral degree in Computational Physics. The expected
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Project overview Climate change and increasing flood risks pose significant challenges to urban infrastructure worldwide.While many municipalities are exploring catchment-based approaches
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hampers our ability to establish causal relations between molecular alterations and disease phenotypes. In this PhD you will address this by developing a deep learning model of cancer. The PhD position