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the project partners at KIT and FZ Jülich Your profile Completed university studies (Master/Diploma) in the field of chemistry, physics, geosciences or computer sciences or related field Understanding
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available in the further tabs (e.g. “Application requirements”). Programme Description In line with its statutes, the Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation) supports
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, mathematics, computer science are passionate about transportation research with a good grasp on the fundamentals of transportation systems optimization possess excellent research, academic writing, and
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these topics indicating one or more project numbers 11 to 18. Among the prerequisites an outstanding Master of Science degree in Computer Science or a closely related field. The application deadline is
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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Computer Science Opportunity to travel to prestigious international research conferences Excellent training and career support opportunities (courses, personal coaching) Your qualifications Excellent Master’s degree
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questions in contemporary Evo-Devo. You will collaborate with an international team of experimental and computational biologists to explore the evolution of craniofacial development. The challenge The body
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image
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Master’s degree in Physics, Chemistry or Computer Science, or equivalent Interest in Physics, Chemistry and Machine Learning Good written and spoken English Ability to work both independently and in a team
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(or equivalent) with excellent academic results in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Physics, or a related field at the time of appointment Required knowledge