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Field
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Education/Experience PhD or MD in Microbiology/Immunology, a basic science field, or a related discipline. Must have teaching and research experience with a well-documented publication record. All degrees
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. Requirements Successful candidates will hold a PhD, MD, or equivalent degree in pathology, immunology, cancer biology, or a related field, and demonstrate a strong record of research excellence evidenced by
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different NTNU faculties, and will house eight PhD students to be recruited in 2025, in the fields of design, psychology, sociology, social anthropology, economics and political sciences. Within NOTRAP
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Degree Philosophiae doctor (PhD) Course location Bochum Teaching language English Languages Courses are held in English only. Full-time / part-time full-time Programme duration 6 semesters Beginning
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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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Graduate School of Economics (BGSE) offers a two-stage graduate programme that combines demanding courses with early individual research in a supportive and intellectually demanding environment. Students
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to four years. Research scholarships are available by application to both future and current students enrolled in or applying for a Doctor of Philosophy (PhD) or Professional Doctorate course at Swinburne
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 1 hour ago
Degree Doctor of Philosophy (PhD) in Environmental Sciences Course location Cottbus Teaching language English Languages All courses are taught in English. The dissertation is written in English, and
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. Personal supervision is complemented by participation in our curriculum: regular colloquia with fellow PhD students, professors and post-docs allow an ongoing discussion of one's own project, as
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, post-Bayesian methods, and in general computational and methodological challenges in integrative unsupervised learning. Method development will be motivated by the research questions of the funded