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Field
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statistical analysis basic processing of NGS data experience with iPSC and/or cell culturing knowledge of and some experience with genetic perturbation assays, such as CRISPR What we offer As part of the VIB
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. These seminars are complemented by courses on research methods and statistical analysis. Individual research projects are presented and discussed on a regular basis by the PhD candidates and their supervisors in
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | 1 day ago
management and statistics, scientific writing and publishing, writing proposals for grants and funding as well as training of personal skills for job applications and interviews. A Diploma supplement will be
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. Academic admission requirements Master of Science or equivalent degree with a strong background in neuroscience, biology, physics, biomedical sciences, computational science, applied mathematics, statistics
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molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. Importantly, mastery of the experimental and theoretical aspects shall equip doctoral
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cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years
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, communication and presentation skills, project management, statistical analysis, leadership skills, and many others. This allows our students to acquire transferable skills that are not routinely communicated in
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Course location Bonn Description/content Anthropology, Biomechanics, Clinical Studies, Epidemiology, Genetics, Health Services Research, Imaging, Statistics For further information, please visit our
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certification flights and flight data from operators of the ten-seater, twin-engine helicopter with a maximum take-off weight of up to 4,800 kg, together with statistics on maintenance events, provide the data
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candidate. The PhD project will focus on data analytics, data mining, and statistical modelling of complex biological system in crops. The project will have access to large volume of state-of-the-art Next