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with mathematical modeling and machine learning methods will ultimately allow us to predict the entire recognition space for any given TCR sequence. Our work is embedded into close collaborations with
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Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye
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good publication track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline
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25.03.2024, Wissenschaftliches Personal We are searching for motivated personnell (PhD, postdoc) with mathematics or informatics background. You will be working in the FAIRmat project (a NFDI
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analysis techniques and physical/mathematical models to drive our development of dedicated algorithms with a focus on time-series analysis in imaging. The Chair of Biological Imaging (CBI) at the Technical
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18.01.2024, Wissenschaftliches Personal Located in the capital of Bavaria and home to over 50,000 students, the Technical University of Munich (TUM) is one of the top universities in the world (TUM ranks among the top 4 European technical universities in THE World University Ranking) and is...
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17.01.2024, Wissenschaftliches Personal The Munich Institute of Robotics and Machine Intelligence (MIRMI) is an integrative research center at the Technical University of Munich (TUM) and works on innovative and sustainable solutions for key challenges of our time, such as the future of health....
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to 2 years; an extension of an additional 2 years is possible. TASKS: Mathematical and physical modeling to determine greenhouse gas and pollutant emissions in cities using novel atmospheric measurements
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for inverse problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering
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background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related. Profound knowledge in machine learning, preferably deep learning for image data. A