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programmes: Track II for students with a top-level Bachelor’s degree and Track I for top-level Master’s degree holders. Track I begins with the traditional research course of studies: a three-year structured
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Course location Stuttgart Description/content The Graduate School of SimTech offers an interdisciplinary structure and international training programme in order to prepare the candidates with
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 6 hours ago
Care and Music Faculty 5 Business, Law and Social Sciences Faculty 6 Architecture, Civil Engineering and Urban Planning Faculty for Health Sciences Financial support Yes Structured research and
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. Are you ready to take your next step? We welcome curious minds from all backgrounds. Course organisation At DIGS-ILS, PhD training is structured but flexible — designed to support independent
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Studies at BIGSAS to date (April 2024). BIGSAS brings together excellent junior scholars in a structured and innovative doctoral programme. The doctoral training is based on research in a vital
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questions, structuring their work, and conceptualising their research projects. Furthermore, students are taught the guidelines for research integrity and good scientific practice as well as search techniques
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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biotechnology, structural biology, proteomics, metabolomics, and more Our benefits: Excellent working conditions in an international environment Flexible and family-friendly working hours and possibility of home
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persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core Research Back