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doctorate degree / submitted doctoral thesis (equivalent to MD or MD / PhD), will undergo specialty training at Leipzig University Medical Center (preferably in Cardiology, Endocrinology, Laboratory Medicine
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This position requires a PhD in Statistics, Computer Science or a closely related field. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection
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: 8 + years of research experience is required. 6 + years of research experience is required with a Master's degree. 3 + years of research experience is required with a PHD. Prior experience in relevant
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practical work May participate in dissertation supervisory committees Active participation in and support of the organization of the activities of the research group Team MIDAS and of DMATH Your profile PhD
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analysis, model building, interoperating structural data to elucidate biological mechanisms, obtaining high-quality data, and supporting and training other lab members. About You You will need a PhD and be
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Postdoc (f/m/d) Regenerative Medicine Medical Faculty Tübingen, Institute of Vegetative und Clinical
exams in German Opportunity to build an independent research group depending on qualifications Your profile Completed PhD in Life Sciences (e. g., Biology, Biochemistry, Pharmacology, Molecular Medicine
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research findings at seminars and journal clubs. ○ Publish articles detailing novel methodologies and analyses. Essential and Desirable Criteria: Education & Knowledge: ● Essential: PhD degree with a
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at the Department of Sports Science and Clinical Biomechanics in general, please click . Qualifications Applicants must hold a PhD degree with relevance for musculoskeletal research. Applicants with an interest in
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program, and to teach modules at other bachelor and master programs offered at the Faculty of Health Sciences as well as to mentor undergraduate and PhD students. Candidates with the following competencies
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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
genomic information to improve genomic prediction models. The selected candidate will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, PhD students