188 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Technical University of Munich
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14.12.2022, Wissenschaftliches Personal The BMBF-funded position is part of the CoMPS project, which is a multidisciplinary project combining the fields of mathematics, computer science, geophysics
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(PhD) in life science - Knowledge of immunology and oncology or virology - Special knowledge of flow cytometry and GLP - Ability to work in an international team - Innovative and creative thinking - Very
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23.04.2024, Wissenschaftliches Personal We are offering one Scientific Project Coordinator position to a highly motivated individual based in Munich/Freising. This multifaceted position offers an opportunity to make a significant impact by ensuring efficient communication and administration...
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hold a PhD degree in chemical engineering, bioprocess engineering, material science or a closely related field. He/she should have a background in encapsulation and experimental rheology. Good
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storage Innovation in the Machine Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website
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for various technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to
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(https://www.icos-cp.eu/projects/icos-cities ) Design and implementation of suitable algorithms, using the High Performance Computing infrastructure at Leibniz Rechenzentrum (LRZ) Analysis of ground-based
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that eventually will automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to validate designs
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of computer vision and machine learning methods for automated analysis and processing of multimodal remote sensing data. About us The Technical University of Munich (TUM) is committed to excellence in research
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simulators (on various abstraction levels using, e.g., Computational Fluid Dynamics) which enables us to verify designs of microfluidic devices even before the first prototype is fabricated. Fabrication: We