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information, please contact Prof. Roland Netz, rnetz@physik.fu-berlin.de Applications should be sent by e-mail, together with significant documents (Cover letter, CV), indicating the reference code, in PDF
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, statistical mechanics, and stochastics • Very good oral and written English skills For further information, please contact Prof. Dr. Roland Netz (rnetz@physik.fu-berlin.de / +49 (0)30 838 55737). Applications
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fields. The program has already prepared numerous generations of students for careers in law firms, companies, government agencies, and other organizations. Further information about the program can be
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strategies in accordance with ISO 19880-9 Independent performance of experiments with gas measurement technology and data collection and analysis using Origin, KNIME, and/or Python Writing project reports in
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stay in Germany promote existing cooperations? Submitting an application General information on the application via DAAD portal You can access the DAAD portal by clicking "Application portal" at the end
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their immunogenicity; Develop analysis strategies for large data sets and correlation matrix using programming languages (R, Python, SQL, etc.); Scientific supervision of undergraduate and doctoral
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skills, and confidence in using computer applications. We require enthusiasm and excitement for our topics. What we offer We are committed to creating an inspiring working environment in which all
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Doctoral and Postdoctoral Researcher Positions in the Cluster of Excellence “Balance of the Microver
microbiome stability, resilience, and tipping points, using model systems and clinical data to uncover what drives changes from health to disease Our Microverse Mission: We integrate insights across ecological
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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, in Africa and Europe. Requirements include a university degree (master's or equivalent) in archaeometry, mineralogy, or materials science, as well as the motivation to develop fundamental new data