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2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition Facility, there is a global endeavour to turn the scientific milestone into practical application
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
of Environmental Science has about 150 employees working in basic and problem-oriented research within environmental science, including chemical and physical processes and interactions between environment and
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, Physics, or a related field Experience in computational chemistry, ab initio molecular dynamics (MD), quantum dynamics simulations, or electronic structure calculations Strong analytical and problem
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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well as access to state-of-the-art scientific facilities. You can also have a virtual tour of our campus . THE POSITION We invite you to apply for a Postdoctoral Position on Multiscale Physics in the Climate
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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. The postdoc will be affiliated to the Department of Molecular Biology and
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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our