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Technomathematics, computer science, engineering, physics, mathematics or natural science or equivalent degree Very good knowledge of techniques and methods of computer-aided sciences Knowledge and experience in
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Contribute to educational events, such as courses and hackathons Your Profile: Excellent Master and preferably subsequent PhD degree in Computer Science, Mathematics, Physics, engineering or similar fields
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successfully completed a university degree (Bachelor`s or Master`s) with a focus on information technology such as computer science, scientific programming or comparable subjects such as (techno)mathematics
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for autonomous systems. Our focus lies on safety-critical applications in the fields of automation, mobility and health. We develop reliable software technologies with a benefit for humans. For example, we conduct
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developments, as well as conceptual guidance of cross-project software developments in the field of biodiversity informatics Strategic and content-related representation of the MfN in national and international
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for autonomous systems. Our focus lies on safety-critical applications in the fields of automation, mobility and health. We develop reliable software technologies with a benefit for humans. For example, we conduct
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different models, test them and evaluate them with scores. What you bring to the table You are enrolled as a student in Computer Science, Engineering, Natural Sciences or a comparable degree program Basic
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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working hours Support, if you wish to do a doctorate Opportunities to work from home Extensive training-, health- and sports offers Various employee discounts and discounted BVG ticket Offers for families
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of various sensors Evaluation of measurement data and derivation of physical correlations What you bring to the table Studies of Computational Engineering Science, computer science, or a comparable field Basic