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the development of computational methods for genetics, high-throughput omics data and causal discovery. Our interdisciplinary and international team is jointly located at DKFZ and EMBL Heidelberg, and
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modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements PhD Position: Master’s degree in Robotics, Mechanical Engineering, Electrical
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, alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing. A selection of possible research areas can be found on our website: https://www.math.cit.tum.de/math
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, the European “Green Deal” and the phase-out of lignite. Funded by the German Federal Ministry of Education and Research, the project focuses on two central aspects: accelerating technology development and
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. German language is not required. The successful candidate will have the opportunity to work on an exciting and diverse project within a nationwide research network, with numerous opportunities for development
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Tübingen offers a combination of high-performance medicine and strong research. The goal of the Carl-Zeiss-Project “Certification and Foundations of Safe Machine Learning Systems in Healthcare” is to enable
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differentiation protocols for iPSC perform CRISPR-based genome editing and molecular biology experiments develop and optimize high-throughput sequencing techniques work with a substantial amount of multi-Omics data
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publications in international journals. As a successful candidate, we will expect you to shape, perform and present your research independently and work individually as well as in teams. OUR OFFER Exciting
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journals. As a successful candidate, we will expect you to shape, perform and present your research independently and work individually as well as in teams. OUR OFFER Exciting research project at a
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). Your primary involvement will focus on Research Area 3. Required qualifications: Documented experience in developing and applying ocean models Experience using high-performance computing systems