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theoretical models and methods as well as in implementing numerical optimization techniques Interest in working closely with experimentalists Detailed knowledge of quantum physics and experience with quantum
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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
Evolution or Computational Biology (salary grade 13 TV-L, 100%) to commence on January 1, 2026. The position will initially be filled for three years. In case of a positive evaluation, the position can be
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chronic autoimmune diseases of the nervous system. In this project, transcriptome data will be analyzed using state-of-the-art cell-based transcriptomics methods (single-cell RNAseq, single-nucleus RNAseq
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neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be applied in close
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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Germany Application Deadline 21 Sep 2025 - 21:59 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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applying computer science methods within the context described above. In particular, you will coordinate the contributions of the professorship to the EU project INTELLIGENT (https://intelligent-project.eu
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and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key