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they learn, PRL134, 147402 (2025). Qualifications We seek candidates with: A PhD in physics, applied mathematics, materials science, mechanical engineering, computer science, or a related field. Strong
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the measurement instrument in close collaboration with our industrial partner, Veridis Technologies. An ideal candidate has experience in vibrational spectroscopy and spectral processing. Expertise in deep learning
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multiple research sites. We are looking for an excellent scientist with a PhD in marine ecology or related field. Expertise in (deep) pelagic echo sounder analysis, and/or deep sea ecological research is
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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://www.academictransfer.com/en/jobs/357790/postdoc-ub4h-learning-and-worki… Requirements Specific Requirements A PhD in educational sciences, learning sciences, organizational studies, or a related discipline. Demonstrated
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16 Jan 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Educational sciences » Learning studies Engineering » Systems engineering Researcher Profile
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. Background: You hold a PhD in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems or related fields. Core Expertise: Strong expertise in Federated Learning and/or Continual Learning
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or continual learning paradigms Research Statement. Two reference letters (one from your PhD supervisor). Please contact Dr. Özlem Durmaz Incel if you have any additional questions via the following
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Are you excited about advancing the next generation of engineering education? Do you want to investigate how student teams navigate the socio-emotional aspects of learning while solving complex
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the liveable cities of tomorrow? Job description Human-centred AI techniques, such as Reinforcement Learning from Human Feedback (RLHF), hold great potential for supporting design methodologies in urban planning