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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | about 6 hours ago
cover personal expenses (accommodation, health insurance, food, clothes...). Funding opportunities within the university No Academic admission requirements A Master's degree (or equivalent) in physics
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 6 hours ago
interdisciplinary, which is reflected by the fact that PhD students have an academic background in (molecular) biology, (bio-)chemistry, (bio-)physics, mathematics, computational biology, computer science
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or natural sciences Bioengineering or materials science Medicine Computer science, physics/biophysics, or applied mathematics If you’re excited about interdisciplinary research and ready to grow as an
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month at Universität Hamburg. The Welcome Service provides information, advice, and help with several administrative issues such as: entering Germany, health insurance, the housing search, dealing with
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a digital format. Computer visions techniques have been recently developed for structural health monitoring of civil structures, including vibration displacement measurements, crack detection and
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PhD Supervisor: Suan Hui Pu Supervisory Team: Suan Hui Pu Project description: Dehydration in humans can lead to severe health consequences if left untreated. There is an unmet need for an accurate
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, broadcasting fee: 29 EUR Clothing, laundry, personal hygiene: 40 EUR Learning materials (books, copies): 28 EUR Medical care, medicine: 97 EUR Leisure time, culture, and sports: 60 EUR Health/nursing care
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of Social and Behavioural Sciences (ESSB) Erasmus School of Philosophy (ESPhil) Rotterdam School of Management (RSM) International Institute of Social Studies (ISS) Erasmus School of Health Policy
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learning approach to exploring playing styles in Australian football). This project has all the required equipment available from the School of Allied Health or the Hockey Australia NTC. The project is
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challenging for clinicians and pregnant women. Digital health records, advances in big data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up