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Field
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the generation of statistically distributed microporosity for specific components What you bring to the table You are a student of industrial engineering, mechanical engineering or a comparable engineering degree
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you bring to the table You are a student of industrial engineering, mechanical engineering or a related degree programme You are characterised by an independent way of working and enjoy practical
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novel machine learning-guided approaches. The position is located at TUM Campus Heilbronn. Your qualifications Strong background in computer science, AI, or related areas or similar fields. Solid
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, computer science or engineering PhD in one of the above fields Proven knowledge and programming experience in at least one high-level language language (including Python) Experience in building web applications
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be part of the department »System Validation Mechanical Drive Train« at our site in Bremerhaven. At present, our team consists of eleven employees and several students. Our core activities are
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physicists with a PhD and extensive experience in nuclear instrumentation, beam handling and detector operation, particularly in international, multidisciplinary laboratory environments. PhD in Experimental
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are invited to apply for the 3-year Clinician Scientist program of the Leipzig University funded by the Deutsche Forschungsgemeinschaft (DFG). Tasks The combined clinical and scientific program focusses
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PhD, the beginning of your scientific career as a junior scientist at Fraunhofer IPMS or becoming an engineer. We support you in this process! Fraunhofer IPMS has been developing IP cores as
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direction includes applying experimental, computational and theoretical approaches to study how cells and organisms interact with each other and respond to change at multiple levels (molecules, cells, tissues
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completed your doctorate in industrial ecology or energy systems analysis You hold a very good degree (master`s or equivalent) in engineering (e.g., energy technology, mechanical engineering, process