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or Python Machine learning methods (for the baseline prediction for the reward funds) is beneficial We expect: Strong motivation to contribute to policy-relevant research Strong interest in teamwork and
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The opportunity to establish your own junior research group, including a newly created PhD position" (75% E13 TV-L). The team will also include a technical staff member responsible for maintaining the TüDiLab and
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scientific career. About us TUM’s new Computational Pathology and Medical Machine Learning lab (*2021) develops methods of machine learning (ML) and artificial intelligence (AI) for the analysis of digital
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, the history of religion and other historical disciplines. The IEG funds PhD projects in European history from early modern to contemporary history. The Institute is particularly interested in projects with a
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the team of Prof. Dr. Loriana Pelizzon on data and methods for supervision of climate and ESG risks in Capital Markets (incl. investment funds, bonds, stocks). The role involves advising and
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at the time of their application; they are required to have obtained a PhD or an appropriate academic qualification. Applicants must hold one of the following titles: Professor, Associate Professor, Research
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Your Profile: Basic qualifications: Completed Master’s degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience with neutron spectroscopy (e.g. INS, QENS, NSE
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in Germany on safety-relevant and ethical aspects of the research project. University degree certificate and transcripts of records of your last academic degree (as a rule, PhD; Master, if you have
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completed their studies or research with a university degree not more than six years ago, Type C: have completed their studies with a doctorate/PhD/Candidate (Russia) not more than two years ago, Type D
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processing • Ability to support the institute’s teaching in tutorials and seminars • Enjoyment of being initiative and liaising with people in the work place • Will to achieve the PhD degree (Promotion) Tasks