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, including research, teaching, outreach and administration Requirements: university degree (Master, Diploma) in Mechanical Engineering, Electronic Engineering, Computer Science or related fields provable
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quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are life science, medicine and health, earth observation and robotics. Consequently, a MUDS student will learn
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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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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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within the university No Academic admission requirements At least eight semesters of study of computer science with completion of a consecutive Master's degree programme comprising at least 240 ECTS
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content Environmental informatics is understood to be an integrated subject consisting of bio-, eco- and
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requirements The formal requirement is a Master's degree. The graduate school hosts doctoral researchers from various backgrounds, such as geoinformatics, computer science, geography, ecology, mathematics, and
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RPTU University of Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 6 hours ago
, health insurance, food, Internet, phone, etc.) For more information: https://rptu.de/international/master/prospective-students/why-kaiserslautern/fees-living-expenses https://rptu.de/international/master
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computer science, bioinformatics, physics, engineering, computer science, statistics, mathematics) or in health science related fields (e.g. medicine, veterinary medicine, pharmacy, life sciences) is mandatory
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI