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Field
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degree in computational engineering, mechanical engineering, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural
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the activities of the SFB ChemPrint Writing of scientific publications and project reports Your Profile: Masters degree in materials science, chemistry, physics, production engineering, energy technology or
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welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance
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the Applied and Computational Mathematics group. His research focuses on time integration methods for all types of (coupled) dynamical systems, with a focus on port-Hamiltonian ODEs, DAEs and PDEs with
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, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch preferably
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, Physics, Biotechnology, Microsystems Technology or a related field is required. Experience in one or more of the following areas: microfluidics, microscopy, fermentation, phototropic organisms, cell culture
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psychology A successfully completed scientific university degree in psychology Accurate working and strong team spirit Confident handling of large, longitudinal data sets Competent use of statistics and data
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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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institution in Southeast Asia. Who can apply? The target group for scholarships are graduates from Cambodia, Indonesia, Lao, Myanmar, Malaysia, Philippines, East Timor, Thailand or Vietnam with a Master’s
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Technology, Mechatronics, Robotics, Systems Engineering, Applied Mathematics, Technomathematics, Computer Science, Engineering Informatics, Theoretical Computer Science, Physics Description Description