963 computational-physics-"https:"-"https:"-"https:"-"https:"-"L2CM" positions in Germany
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problems in materials science, solid-state physics and chemistry, biology and soft matter. We carry out systematic characterizations using various complementary techniques, including the latest TEM based
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Master's thesis on the development of a forecasting tool using AI in the field of welding technology
The Fraunhofer-Gesellschaft plays a central role in the innovation process by focusing on key technologies of relevance to the future and on the utilization of the results in business and industry
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available in the further tabs (e.g. “Application requirements”). Programme Description Every year about 800 foreign students come to Germany as foreign-language assistants (FLA) to be placed in host schools
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The Sulzbach-Rosenberg branch of the Fraunhofer Institute for Environmental, Safety and Energy Technology Fraunhofer UMSICHT develops process engineering solutions in the field of carbon conversion
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physics, chemistry, biology, or medicine A reliable, productive, and independent work ethic A high degree of initiative, resilience, and flexibility Absolute trustworthiness Ability to conduct comprehensive
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and
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of test stands What you bring to the table Studies in mechanical engineering, process engineering or comparable courses of study Basic knowledge of how electrochemical energy converters work and previous
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Solid State Physics IAF we know our technologies like the back of our hand. Because we are one of the few scientific institutions worldwide to conduct research along the entire semiconductor value chain
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”. A precondition for application would be a Master degree in economics (or alternatively, an current enrolment in a doctoral student program in economics). We expect previous activities in economic
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leader with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related fields Experience in applied data science and machine