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Field
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related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
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Proficient in personal computer (PC) use and Microsoft Office Attention to detail Possesses excellent communication and organizational skills Demonstrates dependability, as well as positive phone and people
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for Real-World Optimisation and AI Applications Brain-Computer Interfaces & their Applications Computational Neuroscience: Reinforcement Learning and Microzones in the Cerebellum Explainable Generative
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 5 days ago
framework, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial # Experience in working with medical imaging data, especially with
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | 20 days ago
A+B+C+D/20: A) Training (0: does not comply / 5: meets the required profile); B) Computer Skills (0: no / 5: meets the requirement of the sought profile); C) Specific requirements: languages
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28 Oct 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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include training in computer science, human-computer interaction, etc. A Master’s degree is desirable. In addition, candidates for whom English is a second language should meet the University’s minimum
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or strongly related field in computer science such as computer engineering or software engineering. A bachelor degree without master degree is not sufficient for this position.Application documents • Motivation
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organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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Based on current processor architectures, reaching orders of magnitude of improvements in terms of energy efficiency is considered impossible. Alternative strategies for realizing processing