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array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. The advertised position is part of the newly founded division 4.2 ‘Material
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master's degree (or equivalent) and PhD in Mathematics/Statistics/Data Science Research expertise in the analysis of complex systems Familiar with network analysis, concepts of resilience (e.g. adaptive
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Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 30 days ago
strong links to theory groups at the institute and astrophysical interpretation and modelling work may also be included. PhD in Physics or Electronic Engineering. Knowledge of relevant technologies and/or
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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must
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intermittent hypoxia (tAIH), physical exercise and diaphragm/phrenic nerve stimulation. The postdoctoral associate will be expected to work independently, show initiative in advancing research aims, and
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process design, computational modeling, and techno-economic analysis. The start date for the position is 1 October 2025, or shortly thereafter. The salary for the position is $50,000 per year. We encourage
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for the production of heat pipe components Your Profile: Completed university degree in mechanical engineering, physics, materials science, computational engineering, or a related field, with a PhD or Master degree
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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collaboration partners. The Center possesses the unique possibility to investigate cutting-edge interdisciplinary questions within the theoretical and fundamental aspects of Mathematics, Physics, and Computer