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Field
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admission requirements Applicants are required to have basic knowledge in undergraduate level physics, chemistry and mathematics, with a Bachelor's degree in one of the following fields: engineering natural
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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study of artificial nanostructures with purpose-engineered quantum states Development of novel quantum sensors at the atomic scale Publication of results in peer-reviewed scientific journals and
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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding
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, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines Language requirements English C1 or equivalent Application deadline January, please see website for exact
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content ENWAT (Environment Water) is facilitated by the Civil and Environmental Engineering Sciences Department
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, biochemistry or engineering are encouraged to apply to our educational training programme where cutting-edge research is conducted within our 50+ RESOLV affiliated PI and PS groups located in the Ruhr region
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 16 hours ago
Transformation Processes. The programme is affiliated to the Faculty of Architecture, Civil Engineering and Urban Planning. Doctoral students conduct individual research in the fields of heritage conservation and
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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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, Montserrat, Nicaragua, Paraguay, Peru, St. Lucia, St. Vincent and the Grenadines, Suriname and Venezuela What can be funded? Ph.D. studies in Electrical Engineering at the Universidad Nacional San Juan Ph.D