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surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only
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disciplines (meteorology, environmental science, high performance computing, software development and data science). Your Profile: Mandatory qualifications are: M. Sc. degree in meteorology, physics
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at Humboldt-Universität zu Berlin funded by the German Academic Exchange Service (DAAD, Graduate School Scholarship Programme). The scholarship of up to four years includes a monthly instalment, language
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groups and find your way into top-notch research. We offer a genuine doctoral program in English which was established in the framework of the German Excellence Initiative in 2007. The Department
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interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and
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. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C
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at the application deadline. Incomplete applications cannot be considered by the DAAD. Language skills Language skills (German or English) according to the requirements of the desired study programme have to be proved
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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. Do I need to know German? No, knowledge of German is not required, but you have the option of taking free German language courses during your graduate studies. How long does a doctoral program usually
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related