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doctoral student to realize this project. You can expect an exciting research activity at a non-university, internationally networked institute with a dynamic and interdisciplinary working environment. Your
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. Through academic, clinical, and industry partnerships, as well as global networks, we strive to translate biological discoveries into applications that enable the early detection of deviations from health
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Excited about working in interdisciplinary teams in an international environment Very good English communication skills, written and oral Very good programming skills in at least one high level language
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transport networks to other energy sources and expanding new infrastructure. Planners and policymakers face several challenges, including long construction and retrofitting lead times, which can be several
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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Completed university studies (Master/Diploma) in the field of mechanical engineering, physics of related disciplines Enjoy experimental work in international and multidisciplinary teams Communicative
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been appointed to a permanent post, the services of the Welcome Center are available to you. Through a broad network of internal and external partners, it provides a range of administrative and social
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Degree Doctor of Philosophy (PhD) in Medical Research – Cardiovascular Science Course location München Teaching language English Languages Courses are held in English only. PhD theses are written
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Degree Dr rer nat (Doctor rerum naturalium) / PhD Course location Göttingen Teaching language German English Languages Participants can choose to write their PhD theses in either German or English
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copies of various documents (which do not have to be officially certified!). Certificate of a language examination in English e.g., IELTS Academic or TOEFL (at least B2 level). Please note: At the Freie