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or for an MSc or PhD (or equivalent) in medical engineering, applied medical sciences, public health, or data science in medicine. It funds students from Germany who wish to carry out research stays, internships
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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applications from doctoral candidates from any country who hold a Master of Science (or an equivalent degree) in a relevant field or a Medical Degree. Applications from trainee medical doctors with laboratory
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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Description The Research Training Group (RTG) 2978 is a newly founded DFG-funded interdisciplinary Research and Training Consortium jointly established by the University Medical Center Göttingen
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the tracks "AI Engineering", "Logical Modeling", and "Computational Life Science" - MSc Data Science (UL) - MSc Nanoelectronic Systems (TUD) - MSc Bioinformatics (Bioinformatik, UL) - MSc Medical Informatics
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Further information Hochschule Offenburg Department of Electrical Engineering, Medical Engineering and Computer Science: Institute for Machine Learning and Analytics Institute of Reliable Embedded Systems
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Description We are offering, at the Max von Pettenkofer Institute for Medical Microbiology and Hygiene of Ludwig-Maximilians-University München (city centre), an ERC-funded position as Doctoral
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* Computer Engineering* Network Engineering and Security* Electrical Engineering* Medical Laboratory Sciences** Computer Science** Mathematics** Data Sciences** Adult Acute Care** Physical Therapy** Community
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nationality usually up to the age of 26 in the case of students of engineering 36 in all other cases What is supported? Advanced students of engineering who are in their last year of studies complete a study