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: You work in the field of disruptive design approaches on the investigation of new methods for the evaluation of engine components. As classical designs for intake, nacelle and nozzle increasingly reach
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programming skills and experience in classical mechanics or the dynamics of solar system bodies. The work to be carried out is suitable for a master's thesis in the field of planetary science or physics
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the conformational dynamics of peptides and proteins using classical force fields, as well as the simulation of organic reactions using modern ML force fields. The project combines computational chemistry, multiscale
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programming skills and experience in classical mechanics or the dynamics of solar system bodies. The work to be carried out is suitable for a master's thesis in the field of planetary science or physics
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assessment Development of hybrid quantum–classical algorithms for power system security assessment and operation Integration of quantum algorithms with large-scale HPC simulation frameworks developed at ICE-1
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complex models, very large data sets and limited computational resources. Here algorithms are of interest that enable the solution of problems for which classical approaches using direct methods or maximum
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strategic goals and to actively shape its holistic development (https://www.tu-braunschweig.de/hochschulentwicklung ). In addition to the classic service areas of a university (research, teaching and studies
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
). Please submit your application via our online system (reference number: “PostDoc 02/26”) by September 30, 2026. Further information on our work can be found at: https://www.cbs.mpg.de/departments
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 2 months ago
candidate is expected to incorporate innovative approaches into their research that connect classical probabilistic models with modern deep learning architectures. Examples include Bayesian deep learning
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eavesdropping, thus endangering security and stability of communication. At the same time, the strict latency and security requirements can no longer be satisfied with classical cryptographic protocols