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Degree Doctor of Philosophy (PhD) / Doctor rerum naturalium (Dr rer nat) Course location Hannover In cooperation with Leibniz University Hannover and Carl-von-Ossietzky-Universität Oldenburg
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to obtain funding for PhD students. In parallel, applications to FRM and/or Pasteur-MD-PhD-PPU program will be also encouraged. Opportunities for Interdisciplinary Training: Depending on the candidate’s
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that you gain admission to the PhD programme in Biology (PhD programme in Biology - NTNU ) within three months of your employment contract start date, and that you participate in an organized doctoral
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environment, rich in interaction with other students, post-docs, and scientists. The programme is fully funded. Location Successful studies should always be accompanied by a pleasant social life. Saarbrücken
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, NTNU. This PhD position is financed via the European Research Council’s Advanced Grant Program. The candidate needs to fulfill the requirements of NTNU for obtaining a PhD. The appointment has a duration
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Posting Details Position Information Job Title Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor Position Number 962509 Vacancy Open to All
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of the programme. Application deadline New doctoral candidates are recruited through job postings at the "Understanding Written Artefacts" Cluster of Excellence. The individual application deadline for each doctoral
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are allotted to the preparation of the doctoral thesis. At the beginning of the GSBS, doctoral candidates select either a discipline-focused programme of study in one of the participating disciplines (biology
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Degree Doctor of Philosophy (PhD), Division of Mathematics and Natural Sciences or Doctor rerum naturalium (Dr rer nat) Course location Göttingen In cooperation with Max Planck Institute for Solar
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Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding