131 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
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of Prof. Carsten Trinitis as well as of the Audi Data & AI Team (Dr.-Ing. Benjamin Hadwiger and Dr.-Ing. Florian Meyer) in Neckarsulm. Requirements • MSc in Computer Science, Electrical Engineering, or a
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of extension, depending on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate
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infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer Science or a similar field Good theoretical
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to correct WDR45 mutations, assess molecular and functional outcomes, and explore off-target effects. Gain hands-on experience in cell culture, molecular biology, and advanced bioenergetics techniques, with
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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
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other subprojects within the MultiStress Research Unit • Publication of research results in international peer-reviewed journals Required qualifications • Master’s degree (or equivalent) in plant sciences
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concepts that span from synthesis to polymer science. Good communication skills in English, both written and spoken, and the ability to work collaboratively in an international and interdisciplinary
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or other structural biology techniques - Ability to work in an interdisciplinary (combining structural, molecular, cellular and theoretical approaches) and international team of researchers - Fluency in
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. Publish and present findings in international journals and conferences. Supervise and mentor junior researchers and students. Profile PhD in Computer Science, Biomedical Engineering, Data Science, or a
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Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and