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) with the capacity to contribute to sustainable development. To this end, scholarships are granted for development-related Master studies for individuals who plan to pursue a career in teaching and/or
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and aims at obtaining further academic qualification (usually PhD). We are looking for an outstanding candidate to help us on our mission to develop novel “precision tools” to understand the role
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theoretical and experimental knowledge, methodological and general research skills, and the opportunity to develop your personal strengths. As a member of the structured training program you will benefit from
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identification of spider mite infestation foci and needs-based beneficial insect application in outdoor cucumber cultivation’, which is funded by the BMBF within the funding programme KMU-innovativ: Bioökonomie
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-resilient woody plants (LaserRoots)’, which is funded by the European Regional Development Fund (EFRE). The sub-project of Leibniz Universität Hannover ‘SteBeLa: Control and evaluation of laser-induced
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the technical and social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in
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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
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Description The joint CiM-IMPRS graduate program of the International Max Planck Research School - Molecular Biomedicine and Münster’s Cells in Motion Interfaculty Centre offers positions to pursue
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institutions in five European countries and will be supported by a network of industrial and academic partners. About the position The objective of this project is the development and application of soft sensors
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme is designed for students, graduates and doctoral candidates. It aims to help them improve their knowledge