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. Full-time / part-time full-time Programme duration 8 semesters Beginning Winter semester Application deadline Middle of January for the following winter semester starting on 1 October Please check our
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Admission to this PhD programme is continuous. To apply you need a five-year master's degree or equivalent in teacher education or other qualifications in teaching education, educational sciences
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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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the umbrella of the Dresden International PhD Programme (DIPP) Teaching language English Languages All courses are held in English. The primary language in the labs is English. The PhD thesis is written and
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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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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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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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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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, 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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candidate will be based within the La Trobe Rural Health School under the primary supervision of Associate Professor Kirsty Forsdike . Potential co-supervisors will be discussed and agreed upon with