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, earth sciences, energy systems, or material sciences A master's degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description Highly-qualified...
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and networking. Eligibility and how to apply Candidates are eligible to apply for CAFE-BIO positions if they have an excellent first degree that qualifies for PhD study in physics, mathematics and
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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 also background
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university degree (MSc or equivalent) in one of the following fields: transportation engineering, applied mathematics, systems and control, operations research, data science, or equivalent be proficient in
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sciences and non-university research institutes in Germany. Who can apply? Highly qualified Chinese scientists and researchers in the fields of natural sciences, mathematics, engineering, agriculture and
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(or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science; Strong background in Structural Bioinformatics and
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from developing and emerging countries. It offers the opportunity to continue their academic and professional career in innovation-driving STEM fields in Germany with a Master’s degree in mathematics
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their master’s thesis under the guidance of a German professor at one of the TU9 technical universities. Who can apply? Students from Indian Institutes of Technology (IIT) in the fields of Engineering, Mathematics
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planning methodologies and in mathematical optimization techniques We are looking for first-class graduates with expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and