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and MSc students. In the project you should: Design and implement enzyme libraries using generative AI tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations to assess enzyme
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for Anthropological and Spatial Studies at ZRC SAZU in Ljubljana, which hosts Čaval’s ERC-funded project, integrated into the research group and exposed to a dynamic, international, and productive research environment
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production of chemicals and fuels through large-scale conversion of renewable electricity into molecular bonds. Job requirements Essential job requirements: Strong research record on battery modelling research
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into molecular bonds. Job requirements Essential job requirements: Strong research record on battery modelling research. Completed a PhD degree in a highly quantitative and analytical discipline (electrical
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Description Department of Veterinary and Animal Sciences Faculty of Health and Medical Sciences University of Copenhagen We seek to appoint a highly motivated and dynamic post doc with interest in neonatology
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, medicine, biotechnology or related field obtained not earlier than 7 years before the year of employment in the project (not including maternity leaves), Experience in cell culture, molecular biology and/or
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contributions in: Building novel generative models for predicting genome-scale evolutionary patterns using GenSLMs Developing scalable models that can, when integrated with high throughput molecular dynamics
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to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
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of molecular reactions occurring at the surface of various materials. In addition, computational fluid dynamics (CFD) simulations combined with microkinetic modeling will be carried out to study the heat
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Hydrogen is expected to play a key role in the energy and fuel mix of future sustainable transport systems. However, due to its small and light molecular structure, hydrogen exhibits significantly