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Field
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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
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Your Job: Synthesis of heterogeneous catalysts (Ni on Al2O3) and characterization involving e.g. TGA, IR, TEM, MS, BET Implementation of a reaction chamber for catalytic measurements into a laboratory PDF diffractometer, including the optimization of measurement protocols and combined mass...
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chemical analyses. Please send your application via eMail to Jan Buellesbach (jan.buellesbach@tum.de) as a single PDF document until 3rd of July 2025. Applications should include a motivation letter, a short
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-sections/section-ii/ Send your application with the usual documents, containing your comprehensive CV and transcripts as well as names of three potential references electronically as a PDF file to the
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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programme for doctoral and postdoctoral research in law. We offer excellent conditions and generously funded positions for early career researchers. Additionally, hundreds of academic visitors from all over
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning
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Department of Computer Science Technical University Munich Boltzmannstr. 3 85748 Garching (near Munich), Germany E-mail: albers@in.tum.de The position is suitable for disabled persons. Disabled applicants will
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory