53 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" scholarships at DAAD
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principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion phenomena and link speciation with spectroscopic signatures. Formal requirements include a Master's degree in
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missions. Prior experience with methods of statistical inference using simulations or anomaly searches with machine-learning approaches is desirable.
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their Bachelor’s degrees with very good grade point averages. They have furthermore been admitted to one of the following Master’s degree programmes at RWTH International Academy: MSc Computer Aided Conception and
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THE FIELDS OF: ATMOSPHERIC PHYSICS AND CHEMISTRY, ELECTROCHEMISTRY, ELECTROCHEMICAL ENERGY STORAGE (BATTERIES), ELECTRONICS, ELECTRICAL AND MECHANICAL ENGINEERING, HIGH-PERFORMANCE COMPUTING, MACHINE LEARNING
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months doctoral theses: 1,850 EUR per month over 2 years with an option to renew the sponsorship Additional applications can be filed to acquire specialist literature and to attend scientific conferences
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to complete a German higher education qualification, earn a doctorate or acquire additional knowledge in their academic fields. The foundation's goal is to help further the education and training of young
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a completed B1 must therefore be submitted. Applicants are also expected to acquire the level required by the universities on their own initiative. Support offer German language skills If it is
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. Persons with severe disabilities with equal aptitude, competence, and professional performance will be given priority. > Learn more about "Diversity at UKE" here.
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study programme. Suitable proof of necessary language skills - or the ability to acquire them through the German language course - must be submitted with the application documents. Find more information
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to acquire them through the German language course - must be submitted with the application documents. Find more information on the Important Scholarship Information / A.9 and A.10. Application Procedure