23 computer-science-programming-languages-"Prof"-"Prof" Postdoctoral positions at Leibniz
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For application-oriented research activities in our department Plasma Surface Technology we are looking for an expert to join us at the earliest possible date at the Greifswald site: POSTDOCTORAL
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written English and German (minimum B2 Level) We offer: You will become part of a world-leading research institute dedicated to the biology of aging and have the opportunity to join a very well-equipped Lab
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master's or diploma degree in computer science or mathematics already successfully completed doctorate confident demeanor and proficient use of German and English (both equivalent to at least B2) expertise
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accessibility by public transport or car (including free parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits“) The position is available for 3 years. We look
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networks of functional gene and protein regulation (https://www.ipb-halle.de ). The position is located in the department BPI (Biochemistry of Plant Interactions) and the Program Center for Plant
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” or “magna cum laude” acc. to the German grading system) in sociology, social anthropology, human geography, political science or another relevant discipline. A proven scientific focus on the political right
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, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect: the ability
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Excellent command of advanced statistical methods, such as network analyses, using the R programming language Strong publication record relative to the career stage, demonstrating research excellence and
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(IWH-DPE ). Knowledge of German is not a requirement for the position. Further information The IWH is a family-friendly employer that guarantees equal opportunities. We highly appreciate diversity and
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-party research funding are expected. We are particularly interested in a candidate in any field of economics who leverages state-of-the-art machine learning and causal inference methods to innovative