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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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the subject line ‘PhD / Master in Electrochemistry 2025 – Your Name’. One-page cover letter describing your motivation, skills, and background related to the research areas stated above. CV with contact details
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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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in near real-time. This includes exploring and advancing electrochemical sensor technologies. The PhD project will lay the foundation for the digital transformation of water infrastructure, enhancing
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well as sustainability. Its study model with Leuphana College, the Leuphana Graduate School and the Leuphana Professional School has won numerous awards. For the Institute of Management, Accounting & Finance (IMAF
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Description Microplastics are ubiquitous in the environment due to their versatility and the large quantities in which they are produced and used. At the same time, global consumption and industrial production continue to rise – not only of plastics but also of synthetic chemicals. As a result,...
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Description We are looking for people interested in joining the Software Lab as a PhD student. The Software Lab conducts research at the intersection of software engineering, programming
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the