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of Electrical Engineering at TU/e is a globally recognised, leading scientific and applied research group focused on exploiting light for communication and quantum systems. We apply our knowledge in collaboration
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e-environment, as the author of BAASIK; develop new developmental-support interventions in the cognitive and learning-skills domain for children aged 1–6 years; set up and lead 6 experimental studies
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machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in industrial furnaces
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PhD studentship: Discovery of rational therapeutic biomarkers in breast cancer by systems pathology and deep learning Supervisor: Dr Hamid Raza Ali Department/location:Cancer Research UK Cambridge
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for a doctoral researcher to study how generative AI is changing learning, expertise and relationships at work. The PhD is a four year project that is part of EMANAIRE (Empowering Human Agency in AI
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) Item 03: Proven experience in both programming (Python, R, etc.) and the use of data analysis tools, as well as artificial intelligence / machine learning techniques (punctuation: 22.5) Item 04
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Research Council (ERC) Starting Grant project “Energy-based learning of complex dynamical systems” (E-BLOCS), led by Dr. Henk van Waarde. The PhD student will actively work together with the other members
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learning and data science professional who wants to make a real-world impact? Do you have a specialisation in machine learning and affinity with project management? Do you want to apply advanced AI solutions
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Systems offers a full-time position as Research Associate / PhD Student (m/f/x) E-Sailors - Electric solar wind Sail doctors (salary according to MSCA regulation) starting November 1, 2026. This project has
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/or QGIS) Very good English language skills, both written and spoken Basic knowledge of the German language or the willingness to acquire it for the purpose of knowledge transfer Openness, creativity