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are predominately held in English. Full-time / part-time part-time (study alongside work) full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Additional information on beginning
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | about 1 hour ago
in English and German language courses. Full-time / part-time full-time Programme duration 6 semesters, 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please see our
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coachings complete the course programme. At the IMPRS, PhD projects are carried out under the supervision of an IMPRS professor from one of the member institutes or from a research group associated with
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supervising professors); implementation of the planned research program, evaluation and interpretation of the results, elaboration and presentation of the research; participation in lectures, workshops and
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students and supervising professors); implementation of the planned research program, evaluation and interpretation of the results, elaboration and presentation of the research; participation in lectures
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an excellent research environment, close mentorship by professors and postdocs of the research school, interaction with many peers, enormous computing power with HPI’s data lab, and significant travel funding
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an excellent research environment, close mentorship by professors and postdocs of the research school, interaction with many peers, enormous computing power with HPI’s data lab, and significant travel funding
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candidates and postdocs. Scholarship holders enjoy an excellent research environment, close mentorship by professors and postdocs of the research school, interaction with many peers, enormous computing power
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decisions in collaboration with other CRC members (fellow students and supervising professors); implementation of the planned research program, evaluation and interpretation of the results, elaboration and
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focus on transport modeling, network design, and data analytics in collaboration with other CRC members (fellow students and supervising professors); implementation of the planned research program