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project work plan and milestones Your profile Completed university studies (Master/Diploma) in the field of Chemical/Metallurgical/(Mineral) Process Engineering, Data Science, Statistics, Machine Learning
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Description The interdisclipinary and highly international PhD program Medical Research in Epidemiology and Public Health ( PhD EPH ) at the Institute for Medical Information Processing, Biometry
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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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multi-disciplinary research environment organized within a structured PhD program that enables to complete a doctoral thesis within three years. Topics: Researchers of several disciplines
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Master degree in biology, biochemistry, bioinformatics, or similar Good knowledge of molecular biology, e.g. DNA metagenomics Knowledge of bioinformatics and statistical tools is needed Programming and
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America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School training programs
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in programming would be highly beneficial. A good command of English is essential because it is the local working language and is required for our international collaborations. The PhD positions
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, template programming, and multithreaded development Experience with statistical computing environments such as R or MATLAB is essential Knowledge of Monte Carlo simulation methods using the Geant4 framework
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design and impact analysis, resource allocation, growth and welfare evaluation, technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and internationally peer
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research team led by Dr. Michael Stolpe and the doctoral program of the interdisciplinary Research Alliance Leibniz INFECTIONS. The group cooperates closely with leading medical researchers, biologists and