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Field
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Independent problem solving and systematic data-driven experimental design and execution Fluent in English, German is a plus What you can expect A multidisciplinary project with a strong focus on applied
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The TUM School of Computation, Information and Technology at the Technical University of Munich (TUM) welcomes applications for a PhD or Postdoc Position (m/f/d, 100%, 2 years+) in Numerical Mathematics
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interactions Integrate omics approaches with microphysiological modeling Interpret data, write manuscripts, and present findings at conferences and seminars Collaborate across disciplines with engineers
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 1 month ago
) One or two letter of recommendations or references The screening of applications and interviews will start from August 31st 2025 and will continue until the positions are filled. For further information
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of Chemistry is equipped with state-of-the-art analytical, experimental, and data processing methods and is integrated into a strongly interacting and collaborating scientific environment with the Departments
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fusion energy research Work in an excellently equipped research centre with cutting-edge laboratories and on-site computer clusters No teaching requirement, you can spend your working time for research
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research outcomes to project stakeholders and the research community at meetings, conferences and by publishing in high-impact journals This position is within the Quantum Information Processing research
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. Information on job advertisements and the collection of personal data is available at www.uni-heidelberg.de/en/job-market .
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both with perturbative techniques (high order loop calculations) and nonperturbative methods (lattice QCD). For more information on the group research activity see the web page https
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research