20 coding-"Prof"-"UCL"-"Chung-Ang-University" positions at Technical University of Munich
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24.06.2021, Wissenschaftliches Personal The Professorship of Data Science in Earth Observation (Prof. Xiaoxiang Zhu) is seeking a research associate in the market of AI for Earth observation in
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need strong coding skills, ideally in both modern C++ and Python, to design highly performant algorithms. Solid knowledge in the areas of logic synthesis, algorithmics, and optimization problems, as
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- Proficient C++ coding skills (this is critical and will be tested) - Experience with deep learning frameworks (TensorFlow / PyTorch) - Excitement, self-motivation, and commitment to revolutionize the field
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coding skills to design highly efficient algorithms. A focus in fabrication, and ideally interest (or even first lab experiences) in microfluidics is obviously a big advantage. Join our Team While we
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the developed code Publishing the developed approaches in international journals and conferences Requirements Promising applicants have: A master’s degree in Computer Science, Geodesy, or related discipline Very
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creative, passionate about research, driven by curiosity, and be able to think outside-of-the-box. You will need strong coding skills to design highly efficient algorithms. A focus in bio-chemistry or
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systems with solid coding skills Mathematical background for modeling and analytics Openness for collaboration within our research group, inside the project, and beyond Curiosity and creativity
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-CHECK in the emails’ subject. application.cms.bgu@tum.de www.cms.bgu.tum.de Prof. Dr.-Ing. André Borrmann Lehrstuhl für Computergestützte Modellierung und Simulation Arcisstrasse 21, 80333 München
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research, driven by curiosity, and be able to think outside-of-the-box. You will need strong coding skills, ideally in both modern C++ and Python, to design highly efficient algorithms. Interests (or even
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will need strong coding skills to design highly efficient algorithms. Solid knowledge in the areas of algorithmics, optimization problems, as well as experience with SAT/SMT solvers or machine learning