83 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich in Germany
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. The research associate (doctoral student) is expected to work and conduct research in the area of entrepreneurship and family enterprise while participating in the doctoral program. The position (m/f/x) is
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https://www.cda.cit.tum.de/research/etcs/ PDF Ph.D. Student for Design Automation for the European Train Control System (m/f/d, full time E13), The call for applications as a PDF file (Type: application
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* Your CV * Transcripts of grades We value thoughtful applications over formality, but will not consider incomplete or generic submissions. The position is open until filled. We plan to fill the position
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computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field
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Bioeconomy (BE) and Circular Economy (CE) approaches. Thereby we focus on developing quantitative approaches to model, assess and optimize BE and CE systems. To support our team we are looking for a Key
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Gittereichtheorien“, das im Rahmen des Emmy Noether-Programms der DFG gefördert wird. Ziel des Projekts ist die Entwicklung digitaler Quantenalgorithmen zur Simulation nichtabelscher Gittereichtheorien. Wir suchen
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pages or friendships between users in a social network. Due to the large variety in data science tasks performed with graph-structured data, different specialized systems have been developed, such as
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, and unmodeled dynamics remains a key challenge. This position focuses on developing and validating methods that jointly address safety, performance, and reliability of learning-based control and