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What you will do You will develop, investigate and optimize processes for the realization of fiber preforms using MCVD technology as well as gas-phase or solution-doping techniques for active fibers
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biomedical engineering, bioinformatics, biotechnology, molecular imaging and biomaterials. Training within the RegSci PhD programme takes place across three levels: students carry out their own research
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hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
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hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
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of one of the two annual PhD selection processes may begin doctoral work at any time during the following six months (usually 1 September of the same year and 1 March of the following year). The duration
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and imaging diagnostics. The degree of resolution – already at single-cell level – will continue to increase in all disciplines of life sciences, and the need to process and combine huge data sets
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right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
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integration and interdisciplinary exchange between students and young researchers from medicine, life science, and – since 2007 – also those with an engineering background. HBRS fosters educational and
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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. Infectious Diseases Prevention and Control M.Sc. Medical Imaging Technology M.Sc. Pharmaceutical Sciences Master‘s Degree in Law M.Sc. Electronics and Computer Engineering Al-Quds Open University M.Sc