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(CAusal NEuro-Symbolic approach to integrating perception and abstract reasoning) led by prof. Sara Magliacane. Join us! AI is a vital part of many real-world systems, but several concerns remain about its
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quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: https
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energy system models based on the institute`s own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE. Your tasks in detail: Implementing geothermal plants with material co-production in
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about 5%. Where to apply Website https://www.academictransfer.com/en/jobs/358945/phd-position-factual-belief-pol… Requirements Specific Requirements Required: You hold (or expect to obtain before starting
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-funding from industry and academic partners. You can read more about NICE on https://www.ntnu.edu/nice. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research
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about teaching, research, and creating collaborative, diverse, and inclusive work environments that provide opportunities for professional development. A successful Candidate will have obtained a Ph.D. in
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are seeking ambitious, innovative individuals to join our dynamic team. To find out more about our group and research, visit: https://www.ncl.ac.uk/engineering/research/electrical-electronic-engineering
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group of PhD researchers who will tackle the most pressing questions in Machine Learning while ensuring AI serves humanity responsibly. You'll work within one of our specialised research themes, each
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, to work at the intersection of AI, security, and embedded systems, contributing to next-generation trustworthy hardware platforms for cyber-physical energy systems. About the project AI:X is an ambitious
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time Application deadline Applications are accepted year-round and evaluated every month. Please visit the RESOLV Jobs and Training website for details: https://www.solvation.de/career/jobs-training