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, you will be part of an interdisciplinary team with three professors and two postdoctoral researchers, specialized in spatial planning, (active) mobility, and futures research. You will also work closely
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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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of Computer Science, the Technical Faculty of IT & Design. We invite applications for two fully funded PhD stipends in the area of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Large Language Models
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researchers Education: Ph.D. in a related field (e.g., epidemiology, biostatistics, health economics and policy, pharmacogenomics, biomedical informatics, biomedical engineering, computer science, or a related
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methodologies in collaboration with Dr. Suthana and interdisciplinary team members. · Apply advanced statistical and computational approaches to investigate neural dynamics underlying naturalistic behavior
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Université Paris-Saclay. Job profile: • Researcher in theoretical/computational condensed matter physics. • Strong proficiency in programming and genuine interest for numerical methods • Solid background in
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the PhD thesis in either language, English or German. Full-time / part-time full-time Mode of study Hybrid Programme duration 6 semesters Beginning Only for doctoral programmes: any time Additional
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spectroscopy and Gaia data of star clusters to decipher the mystery of the Lithium-rich giant stars" (with Prof John Lattanzio) "The origin of the heavy elements: Computer simulations of neutron-capture
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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on their staff. Our new grant funding will extend this programme to study how working time reduction could support employee inclusivity at work. In this grant-funded studentship, the PhD researcher will play a