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. YOUR RESPONSIBILITIES Develop an original research program that leverages unique numerical experiments to test different hypotheses or uncover novel mechanisms Supervise doctoral and postdoctoral
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the areas of ‘Process Sensors and Systems Engineering’, ‘Material Analytics’ and ‘Computational Methods’. With our expertise in data science, modelling and systems engineering, we develop tailor-made
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data analysis and development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science
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and specialized accounting and methods courses is expected. A strong commitment to the TUM Campus Heilbronn, efforts for prestigious research funding, contribution to academic self-government, and
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for the research group "Immersive Media & Communication" in the department "Vision & Imaging Technologies (VIT)". In our national and European research projects, we develop new methods of interactive 3D
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for industry. To this end, the latest findings from the fields of artificial intelligence, machine learning and cloud-based methods are combined with proven expert knowledge to answer current questions in robot
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wide range of markets such as automotive, industrial and aerospace. The rapidly growing demand for computing power especially in relation to quantum computing (QC), artificial intelligence (AI), and
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and digitization. More than 400 employees – including around 100 students – from over 50 countries work at nine locations in scientific and non-scientific teams on the development of innovative methods
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ecosystem and provides an excellent environment for professional growth and development. What you can expect Independently develop and apply computational methods to map molecular trajectories from normal
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to the table Studies in (business) informatics, information technology in mechanical engineering, physical engineering, mechanical engineering, or related fields Experience in setting up and operating ML