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Field
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research Applicants for the postdoctoral positions should have a PhD, MD or MD/PhD degree in a relevant area of research latest within four months after the submission deadline. Applicants should not have
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Africa and Southeast Asia Obtain external funding at DFG, BMBF, EU etc. Support and extension of international, national and regional cooperation of BNITM Supervision of students and PhD candidates from
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Fax.+49-551-39-22985 Germany Web Page: http://www.uni-goettingen.de/en/20693.html
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methodological reference framework for functional measurements on liver and heart sections. Skills and Requirements Excellent Master’s degree and PhD in biology, nutrition science, medicine, or a related
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conducting collaborative research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology
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cancermodels Analyze and interpret complex datasets and translate experimental findings into a clinically meaningful context Publish results in high-impact international journals. Your profile PhD in tumor
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Contribution to the automation of laboratory processes Building and maintaining partnerships with industry partners Supporting project goals and preparing for a potential spin-off Requirements PhD in chemistry
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
approaches in the lab Develop original research ideas aligned with the lab’s vision Guide and supervise students (from Bachelor’s to PhD level) Present research findings at lab meetings, institute seminars
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someone who wants ownership, visibility, and scientific freedom. Your Profile PhD in molecular biology, bioinformatics, marine biology, or a related field Strong skills in R and/or Python and
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at international conferences. Your profile PhD (degree or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning