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themselves with new subject areas. Both working independently and working in a team, e.g. during the measurement campaigns, is particularly demanding. Knowledge of programming languages such as Python is an
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requires basic knowledge in biomedicine, including the molecular biology of the eukaryotic (stem) cell, pathomechanisms, and immunobiology. The curriculum also provides knowledge in cellular, genetic and
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oral presentations at conferences, writing high-impact journal articles, as well as sharing your knowledge via (a minimal amount of) teaching. Career development through many team activities is an
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journal articles, as well as sharing your knowledge via teaching. Qualifications The candidate will hold a Masters in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious
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opportunities for cooperation with internal and external partners, supervision of Master students, giving oral presentations at conferences, writing high-impact journal articles, as well as sharing your knowledge
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. Additional binational support is made possible by the CNRS in France and the DAAD and the Alexander von Humboldt Foundation in Germany. Course organisation The research training consists of research work and a
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written in English. Alternatively, it may be written in German after consulting with the main supervisor. The presentation at the PhD defence has to be given in English. German knowledge will be helpful
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Genetics (MPIMG). Courses, seminars and joint research work foster the establishment of a close-knit community of doctoral candidates where scientific experience and knowledge is exchanged. The topic
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 16 hours ago
and on the application of knowledge. It is characterised by the classic features of a technical university. The BTU research profile comprises four key areas: Global Change and Transformation Processes
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of the brain requires the collaborative efforts of neurobiologists, neuropsychologists, cognitive scientists, medical researchers, computer scientists, mathematicians, physicists and engineers. Computational