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Field
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of concept and transfer to industrial implementation. Various modern methods of plant biotechnology from the fields of process engineering, biochemistry, and analytics are of utmost importance for this. Be
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different output ranges at their disposal, which we will rebuild, expand, and test during your internship. Together with you, we want to develop combustion technology with extremely low emissions and CO2
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area (mathematics, computer science, natural sciences and technology). The Kurt Hansen grant can be used for the following activities: internships, in Germany or abroad research projects in STEM
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from outside the University of Stuttgart Can attend courses and seminars specially designed for simulation technology Are able to exchange technical and methodical information Are integrated
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integration and interdisciplinary exchange between students and young researchers from medicine, life science, and – since 2007 – also those with an engineering background. HBRS fosters educational and
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-Tracking, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields. Strong programming
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Advertisement for the field of study such as: Automation technology, electrical engineering, computer science, cybernetics, mechanical engineering, mechatronics, control engineering, software design
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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Master’s degree in physics, chemistry, materials science, chemical engineering, or a related field who are excited about applying machine learning and data science to real-world materials challenges
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time studies at a university in the area of Electronic Engineering or comparable Experience with low level software development required Experience with electro-mechanical design desired Professional