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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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the reference number, or by email to: bewerbung(at)leibniz-gwzo.de . Questions regarding the application can be addressed to Prof. Dr Arnold Bartetzky (arnold.bartetzky(at)leibniz-gwzo.de ). An application by e
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support of your proposed individual research project. Then submit the following documents as a single PDF file via email to the program manager, Anna Kellerer (anna.kellerer@math.lmu.de) stating
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available in the further tabs (e.g. “Application requirements”). Programme Description Applicants holding a PhD or who are eligible to be a junior professor in the historical humanities are invited to apply
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oral presentations at national and international conferences Your profile PhD in Ecology or a related field Solid background in (macro-) ecology and biodiversity research. Solid background in zoology
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include the University of Oxford, Imperial College London and Ukrainian and British policymakers. What we look for PhD in a policy-related field (e.g., public policy, political economy, economics, political
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
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preliminary work! • You will characterize metalloid transport proteins. • You will be involved in the training of students on the Bachelor and Master level. YOUR QUALIFICATIONS AND SKILLS • You have a PhD or
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio