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Field
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of a project with limited experimental data points? In addition, how would you combine various computational chemistry methods that can leverage data to enhance potency predictions? With your solution
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, Raman spectroscopy, Scanning electroscope microscopy). Analyze data, contribute to scientific publications, and present research findings at international conferences. Collaborate closely with our
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interdisciplinary project seeks to develop new approaches to resilient and sustainable urban development, in cooperation with Karlsruhe Institute of Technology (KIT) and RWTH Aachen. For the subproject based
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soon hold) a PhD degree in Linguistics or a similar Language Science area are eligible for the role. The ideal candidate for this position has: a solid background in formal linguistics, particularly
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biology Experience with multi-omics data analysis or AI-driven biomedical research is a plus Interest in tumor microenvironment, immune response, and systemic effects of local therapies Ability to work
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, Environmental Sciences, Computer Sciences Proven experience in financial economics, financial risk assessment as well and in climate and ESG ris Interest to work at the interface between research and policy, and
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performance and degradation of electrolysis in dependence on different operating modes Your Profile: Completed Master’s degree in chemical engineering, computational engineering, computational mathematics, data
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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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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`s degree in physics, chemistry, materials science, chemical engineering, or related disciplines Extensive knowledge of X-ray methods Knowledge of X-ray reflectivity Experience with vacuum chambers