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motivated with an interest to work in an interdisciplinary team spanning machine learning, bioinformatics, and medicine Strong English language skills to communicate and collaborate in our diverse work
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English Languages All courses, lectures and seminars at the LSM are held in English. Students can however choose to write their doctoral thesis in German. Full-time / part-time full-time Programme duration
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only in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study Successful applicants will then
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Degree Doctoral degree Course location Bielefeld Teaching language English Languages Courses for doctoral students are usually held in English. Programme duration 6 semesters Beginning Only
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
research interest or specific research project (description limited to three pages) aligns with the research program of our department . The prerequisite for the position is a doctorate with excellent
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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of energy system analysis, renewable energy systems or thermodynamics or comparable First experience in optimization or statistics is advantageous Knowledge of an object-oriented programming language (e.g
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, computer science or engineering PhD in one of the above fields Proven knowledge and programming experience in at least one high-level language language (including Python) Experience in building web applications
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programming languages like OCaml will be expected from successful applicants. We offer: Postdoctoral position for 1-3 year. (TVÖD E13) / PhD position for 3 years (comparable to 65% TVÖD E13). No teaching duties
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teaching, the ability and willingness to cooperate on an interdisciplinary basis and, in particular, to participate in interdisciplinary programs and research networks (esp. the CRC 1391) as well as relevant