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-time / part-time full-time Mode of study Less than 50% online Programme duration 6 semesters Beginning Winter and summer semester Application deadline Announced on the website for the summer semester: 15
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 15 hours ago
Degree PhD or (if applicable) Dr rer nat Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline At any time to the principal investigators directly Tuition fees
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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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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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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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. 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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internship, or industrial placement) Wet lab experience How to apply: To apply email Professor Andrea Cortese at andrea.cortese@ucl.ac.uk with a single combined pdf (labelled as: �Your Name_RFC1 PhD
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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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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