120 high-performance-computing positions at Technical University of Munich in Germany
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care, in an exciting, interdisciplinary field. Access to large-scale, high-quality pathology datasets and cutting-edge computing infrastructure. Collaboration with renowned scientists, pathologists, and
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the contents of our website Support our outreach team Maintain and develop our MySQL database Communicate with doctoral researchers and our core members Perform administrative duties as needed Requirements
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that algorithmic parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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policy, economic sociology, and international relations. Methodologically, it draws on and combines both quantitative and qualitative methods, with a particular focus on computational and multi-method
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to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in chemistry, physics, or informatics (candidates that will soon obtain the degree are also welcome
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, Applied or Numerical Mathematics, etc.) with excellent academic performance. Strong English language skills. Interest in our research topics and high motivation for independent scientific work within an
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industrial relevance Phase change such as vaporization, condensation, melting, and solidification is a first-order phase transition involving latent heat, which is an old topic but has become increasingly
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. The role involves setting up experimental models using Particle Image Velocimetry (PIV) and performing Computational Fluid Dynamics (CFD) simulations to analyze fluid flow and deposition patterns. The data
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School of Engineering and Design and maintain strong links with the computer science community. One of our key research areas is the design and operation of intelligent networked production systems