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another relevant natural or engineering science Good knowledge of uncertainty quantification (including Bayesian techniques), random sampling, data evaluation methodologies, and game theory Knowledge
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chronometabolic research Analysis and quantification of circadian rhythms by rhythm analysis software (Cosinor, JTC cycle, R etc.) Rhythm analysis in human 24-hour time series data and omics data Writing
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to perform theoretical physics research at the interface of quantum information, condensed matter and high-energy physics. A strong background and interest in one or more of the following topics is desirable
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 16 hours ago
approaches to data analysis, atomistic details of thermal catalysis and electrochemical reactions at gas/solid and liquid/solid interfaces are revealed. In particular, structure-reactivity correlations
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regarding the position, please contact Prof. Dr. Renata Motta via hcias-jobs@uni-heidelberg.de . Further information on the HCIAS can be found at www.hcias.uni-heidelberg.de/en . We look forward to receiving
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, and conduct relevant experiments for in vitro, ex vivo, and in vivo study of cartilage repair using materials developed within the TriggerINK project Provide assistance to analysis and interpretation
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research, data science, cognitive science, or related disciplines who are eager to engage deeply in the Institute’s research activities in empirical education. We especially welcome applications from
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Expertise with scientific data analysis We expect: the ability to work independently and on your own initiative a methodical and systematic approach structured and goal-oriented thinking capacity
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Methods. Candidates should have an interest in applied mathematics, programming experience, and a passion for a practice-oriented project involving real data and applications. Specific tasks within
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and