927 computer-science-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions in Germany
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solid-state lasers. The position forms part of the Laser Technology (LAS) department, which develops and evaluates specific photonic materials and components, associated laser sources and nonlinear
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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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training. Your profile Ph.D in stem cell research with strong foundations of molecular biology with a solid training in molecular life sciences. Previous work with germline or stem cell biology on the study
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the first year, the majority of MarMic students enter the PhD programme and subsequently graduate with a PhD thesis within three to three and a half years. A Master of Science (MSc) degree is available
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Innovation in science, and in quantum-, nano- and bio-technologies depends on a rigorous understanding of the inner workings of custom-tailored materials. Since the elementary building blocks
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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
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degree / double degree programme No Description/content The Dresden International Graduate School for Interdisciplinary Life Sciences (DIGS-ILS) is a well-established PhD programme at TU Dresden, one
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basis. Who can apply? The programme is aimed at qualified students, graduates and doctoral candidates from North America who are carrying out research projects on German cultural studies. What is
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doctoral programme provides an outstanding environment for young scientists to tackle grand societal, scientific, and industrial challenges in the fields of energy, health, matter, and data science. The
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with