22 requirements-engineering-"https:"-"https:"-"https:"-"IFM" PhD research jobs in Germany
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protein engineering to develop agents based on our research into their photophysical properties and structure-function relationship. Finally, we are driving the development of specialized screening
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about the ISSE Institute, please visit our website: https://www.isse.tu-clausthal.de Your responsibilities include: Research and development in the field of software engineering for dependable and safe
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teaches with approximately 25 staff members in the Department of Mechanical Engineering at the School of Engineering and Design (SoED) of the Technical University of Munich (TUM) in Garching on the design
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(beyond model training) Solid programming skills (Python required; C++/CUDA a plus depending on simulations) Interest in physics-based simulation, numerical methods, or computational engineering Motivation
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incorporates different approaches, ways of thinking, methods and disciplines. Working as a team: You work independently and take on responsibility in highly motivated teams. Our flat hierarchy promotes our
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involve the computational integration of multi-omics datasets from both microbial communities and the host, with the goal of uncovering the systemic impact of gut bacteria on human physiology. As part of
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. Methods, 2024). The approach is still in its infancy; hence we need to drive the further development of the imaging technology, labeling agents and analysis approaches at the same time. To demonstrate
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, technology development, and science. On the local education campus, various university and non-university research and development institutions are working together in a unique collaboration and a state-of-the
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 20 days ago
models Validation of the method in a real-life biological context Skills and requirements Strong background in computer vision, with particular experience in human and animal shape modeling Experience with
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involve the computational integration of multi-omics datasets from both microbial communities and the host, with the goal of uncovering the systemic impact of gut bacteria on human physiology. As part of