51 phd-in-theoretical-neuroscience Postdoctoral positions at Nature Careers in Denmark
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in neuroscience. Expected start date and duration of employment The position is initially for 2 years with the possibility of extension. Starting date is 1 August 2025 or as soon as possible after
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of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts are supported by
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topological phases and hysteresis-driven memory mechanisms. You will work closely with experimental and theoretical physicists and material scientists at DTU Physics, DTU Energy as well as our collaborators
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within the 2DPHYS and CAMD sections at DTU Physics as well as at DTU Compute and DTU Nanolab. Required qualifications Significant experience with theoretical and computational nanophotonics High level of
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The Department of Molecular Biology and Genetics and the Danish Research Institute of Translational Neuroscience (DANDRITE, Nordic-EMBL partnership in molecular medicine) at Aarhus University
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and analysis. Data analysis and interpretation, including theoretical modelling. Establishing structure-property relationships and pushing the frontiers of the field. Collaborating nationally and
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Are you interested in protein O-GlcNAcylation in neuroscience and can you contribute to the development of modelling intellectual disability in Drosophila melanogaster ? Then the Daan van Aalten
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Carbon Capture System Design, Operation, and Test The ideal candidate should have all or several of the following academic and personal qualifications: A PhD in chemical engineering, process engineering
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data