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- Technical University of Munich
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develop our own numerical methods and tools, but also extensively employ and co-develop numerical techniques provided by the international community. We are looking for one PhD student to join our team in
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Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal
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influencing factors and improve the accuracy, robustness and energy efficiency of intelligent sensing systems. Apply AI as an engineering tool: Use signal processing, statistical methods and machine learning
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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reduction of wind-tunnel experiments by 87% between the late 1970’s and the late 1990’s, corresponding to a reduction of energy consumption which can be estimated as 8.7 107 kWh while reducing the fuel and
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methods for multimodal and longitudinal patient modelling • Build and evaluate foundation models on large-scale clinical datasets • Work with radiology, pathology, genomics, laboratory, and clinical text
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analysis team, contributing to data generation, processing, and delivery. The project will address key challenges such as advanced backscatter mitigation, improved scale factor estimation, and advanced post
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physics or theoretical chemistry, with interest in electronic-structure theory and method development. Experience in computer simulations and programming is advantageous. Very good communication and writing
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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common is that they cannot be addressed with standard computational methods but rather require modern data science and information science techniques. Several areas of computer science and mathematics play