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, environmental disturbances, aging effects, and calibration issues, which may compromise monitoring and optimization strategies. The objective of this PhD project is to develop methods to ensure reliable
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) Eligibility criteria: you should not have been awarded a title of PhD (Applicants who have successfully defended their doctoral thesis but not yet formally been awarded the doctoral degree will not be
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools for highly dynamic SatCom systems Implement and open-source proof-of-concept
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monitoring and Fault Detection, Isolation, and Recovery (FDIR) for space-borne and robotic systems. The candidate will carry a leading role in this area and support PhD candidates in their thesis research
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should not have been awarded a title of PhD (Applicants who have successfully defended their doctoral thesis but not yet formally been awarded the doctoral degree will not be considered eligible). Should
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have been awarded a title of PhD (Applicants who have successfully defended their doctoral thesis but not yet formally been awarded the doctoral degree will not be considered eligible). Should not have
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research in the field of artificial intelligence and the development of innovative machine learning methods to address fundamental questions in (bio)medical research. Research topics may, amongst others
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conduct innovative and internationally recognized research in the field of artificial intelligence and the development of innovative machine learning methods to address fundamental questions in (bio)medical
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position within a Research Infrastructure? No Offer Description In this project, the PhD candidate will develop gold-standard ESM items for the real-time assessment of amotivation—a core negative symptom of
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about the position, please contact us at justicevisions@ugent.be . YOUR TASKS We are seeking to hire one fully funded PhD researcher as part of the ERC project “Innovation and documentation