689 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Newcastle University" scholarships in Germany
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communication in the labs is predominantly English. Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Students pursuing a doctoral degree can apply throughout
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available in the further tabs (e.g. “Application requirements”). Programme Description Research work (Master's theses, doctoral theses, Postdocs) in the field of natural sciences is eligible for funding
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available in the further tabs (e.g. “Application requirements”). Programme Description The German-Czech Fund for the Future was launched in 1998 to create and support trust, encounters and cooperation between
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarship is aimed at refugees who are studying at German institutions of higher education. Candidates from all
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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine
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quantum remote sensing of atoms in the MLT. The new, flexible dye laser systems require hands-on work in optics (spectroscopy, laser physics) and software development for lidar control. Data evaluation is
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work at the interface of artificial intelligence, materials science, and sustainable chemistry to develop new approaches for the recovery of rare earth elements. Rare earth elements are essential
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collect and analyse health data, identify risks, advise government and experts, and develop new scientific methods. We are based in Berlin, Wildau and Wernigerode. Get started now Apply directly through the
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available in the further tabs (e.g. “Application requirements”). Programme Description The travel grants are intended to assist young US citizens or permanent US residents who write their doctoral theses and
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reinforcement learning methods can be used to solve multiobjective discrete and combinatorial optimization problems. The goal is to develop new algorithmic approaches that combine ideas from machine learning