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with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep
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available in the further tabs (e.g. “Application requirements”). Objective This programme aims to deepen knowledge of the German language (general language, technical language) and regional studies. Who can
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? Individual scholarships exclusively for Postgraduate courses in Germany that are listed on the Duration of the funding 12 to 42 months (dependent on study programme) Value Depending on academic level, monthly
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PhD in computer science, physics, mathematics, or a related discipline Strong expertise in image analysis and/or machine learning, with a deep understanding of how data characteristics impact downstream
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and political science, the Institute´s research program aims to combine and develop the approaches of new economic sociology and comparative and international political economy. The MPIfG is currently
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Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and
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program aims to develop novel photonic measurement techniques based on interferometry and nonlinear optics that enable spectroscopic measurements of the entire physiologically relevant concentration range
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and society. Your Role As Industry Fundraiser (f/m/x), you will be responsible for initiating, maintaining and delivering on strategic relations with industry partners to secure substantial financial
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research and supervision Yes Research training / discussion Yes Support for international students and doctoral candidates Welcome event Accompanying programme Visa matters List of doctoral programmes and
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are described here . Research Environment The University of Konstanz has been successful in the German Excellence Initiative and its follow-up programme, the Excellence Strategy and is among the most highly