1,129 computer-science-quantum-"https:"-"https:"-"https:"-"https:" positions in Germany
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contribute Completed an excellent doctorate in computer science Proven track record of excellent publications Expertise in cryptography and/or machine learning Leadership capabilities and ability to mentor
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of the components What you contribute You are studying physics, mechanical engineering, computational engineering science, computer science, or a related field, and have performed well in your studies so far You work
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comparative and historical perspective combining data-driven computational approaches with informed institutional analyses of capitalism, insurance finance, housing and welfare states while drawing on theories
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available in the further tabs (e.g. “Application requirements”). Objective As part of the programme with Mexican partners, students studying the natural sciences and engineering spend one year in Germany (one
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available in the further tabs (e.g. “Application requirements”). Programme Description The Erasmus+ individual mobility project is not only aimed at students but also at university teachers and members
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circuits are used in sensor technology, medical technology and quantum cryptography. Photonics is one of the most exciting and dynamic areas of applied research. Building on many years of experience, the HHI
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of Electrical Engineering and Computer Science School of Art and Design Course language German and English Financial support No Structured research and supervision Yes Research training / discussion Yes Career
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project partners to develop novel MRV approaches engagement with interdisciplinary team, outreach with mCDR stakeholders Your profile MSc or comparable degree in Environmental Science, Chemistry
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the life sciences and related disciplines (e.g. biomedical sciences, biology, biochemistry, physics, chemistry, psychology, computer sciences, engineering) Acceptance by an authorised academic supervisor
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Description BioHYBRITE (Decoding and designing biomolecular systems with hybrid DNA:RNA:protein nanotechnology) is funded by the Marie Skłodowska‑Curie Actions (MSCA) Doctoral Networks programme and