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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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The sociology department at the John F. Kennedy Institute teaches and studies the political economy of the United States in comparative and historical perspective combining data-driven computational
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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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of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses, and supervise
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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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applications, although this is not the primary goal of the position. What you will bring (position requirements): A PhD in machine learning or data science and a background in computer science, physics
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topics at Fraunhofer ITWM are machine learning, artificial intelligence, renewable energies, and sustainability. In addition, next-generation computing and quantum computing are future-oriented topics
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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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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