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their reliability and real-time performance? Then apply for the PhD position on Adaptive Connectivity Architectures for Cyber-Physical Systems! Information Modern cyber-physical systems (CPS), such as semiconductor
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valuable. So in return for your efforts, we offer you: A salary of minimum € 3.059,00 (PhD salary scale 85.0) and maximum € 3.881,00 (PhD salary scale 85.3) gross per month, on a full-time basis. A position
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a motivated PhD candidate to develop innovative visual
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of the following subjects: scalable data management, systems for machine learning, distributed and parallel systems, or cloud-based systems. We are especially interested in researchers who build working systems and
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now As a successful candidate, you will be part of the international research project “Follow the money! REconstructing Belief systems behind Urban Intensification and Land-rent Distribution (REBUILD
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the money! REconstructing Belief systems behind Urban Intensification and Land-rent Distribution (REBUILD)”, funded by the Swiss National Science Foundation. Focusing on case studies in the Netherlands and
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knowledge and experience within the field of real-time systems, embedded systems, state machines, and distributed systems. Hands-on demonstrable knowledge and experience in programming in C/C++ is a must; Is
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management and distribution for space applications, both primary or secondary, platform or payload. In particular, the Section covers power system design, power and energy budget assessment, power conditioning
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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, which options become visible, and how agency is distributed between humans and algorithmic systems. In this PhD project, you will study AI-supported decision-making from a representational perspective