249 computational-physics-"https:"-"https:"-"https:"-"https:" scholarships in Germany
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18.09.2024, Academic staff We have several 𝐏𝐡𝐃 & 𝐏𝐨𝐬𝐭𝐃𝐨𝐜 𝐨𝐩𝐞𝐧𝐢𝐧𝐠𝐬 in our Visual Computing & AI Lab in Munich! Topics have a strong focus on GenAI, including 3DGs, NeRFs, Diffusion
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defined four main research areas as the following: Environment and Sustainability Neurosensory Science and Systems Medicine, Health and Life Sciences Chemical, Physical, Mathematical and Computational
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We are looking for a PhD candidate to join the AI-Based Materials Science group in the Physics Department at the Technical University of Munich. In this position, you will work at the interface
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Center . Language courses offered: Arabic, Chinese (Mandarin), German, English, French, Hungarian, Italian, Japanese, Korean, Portuguese, Russian, Spanish Programme duration 4 semesters Beginning Winter
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Chemistry and Earth Sciences Engineering Sciences Mathematics and Computer Science Physics and Astronomy Philosophy Modern Languages Theology Law Economics and Social Sciences Behavioural and Cultural Studies
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degree with either the UTS Sydney or the University of Groningen. Teaching language English Languages Our primary language in the PhD programme is English. In addition to the mandatory English language
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the teaching program of the Institute of Physics. Our network includes the research community worldwide. As an institute of the Leibniz Association, we distinguish ourselves as a modern and innovative employer
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uncovering fundamental principles of microbial interactions, resilience, and adaptation. We are expanding our bioreactor cultivation program and opening three PhD positions that will shape new cultivation
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second stage of the admissions process. Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content Compelling for its
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 16 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