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accepted until 31.10.2025 online. Molekulare Virologie Prof. Dr. Mathias Munschauer Im Neuenheimer Feld 344 69120 Heidelberg +49 (0)6221 56 4225 Mathias.munschauer@med.uni-heidelberg.de Note: The UKHD is
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learning algorithms (e.g., graph neural network (GNN) architectures) will be developed to explain the identified small-scale processes as accurately and efficiently as possible and to ultimately develop a
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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 1 month ago
the acceleration of relativistic plasma in jets. Developments of new automated algorithms for VLBI model-fitting, kinematics measurements and robustness assessment. 2. Probing the physical mechanism of neutrino
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Your Job: Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing
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data analysis and develop sophisticated mathematical models for simulating power system behaviors under various scenarios. Development and Testing: Design and develop control algorithms to enhance grid
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to apply. Severely disabled applicants will be given preference if they have essentially the same suitability and qualifications. If you have any questions prior to applying, please contact Prof. Dr
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a
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MesaPD to solve complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms
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scientific queries to Dr. Christian Bayer (christian.bayer(at)wias-berlin.de ) and Prof. Dr. Peter Bank (bank(at)math.tu-berlin.de ). The position is available immediately, remunerated at WIAS (50%) in
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together with a CV and supporting documentation as a single PDF file to us no later than 29 July 2022. Email address: applications.bgd@ed.tum.de Do not hesitate to contact Prof. Dr. Martin Werner