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EU programme Reference Number BAP-2025-583 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Job Pursue your PhD dissertation: Participate in the PhD
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in the Faculty of Science is looking for a full-time (100%) PhD researcher in the field of chemical synthesis (nano)materials and photosensitisers for molecular quenching strategies in (photo
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are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
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Do you dream of studying or doing research in the United States? The Belgian American Educational Foundation offers scholarships for study/research at top universities in the US. Moreover, a prestigious BAEF scholarship can make the difference in your future career. The scholarships are open to...
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the field of AI-powered camera systems Position You will work actively on the preparation and defence of a PhD thesis Design and calibration of AI-powered camera systems for armoured vehicles. The PhD
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computing environment opportunities to gather experience in statistics teaching (only if you wish to do so) We are looking for: You are holding a PhD degree in statistics, mathematics, or a similar domain
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FieldBiological sciencesEducation LevelPhD or equivalent Skills/Qualifications We are seeking a self-motivated, creative and tenacious researcher who recently obtained a PhD degree in one of following disciplines
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research projects and the activities of the research group. You will contribute to attracting national and international research funding. You will assist in the supervision of PhD students and other team
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: 1 → Type of employment: Contract of limited duration → Term of assignment: 2 jaar → Wage scale: PD1 to PD4 (doctoral degree) → Required diploma: PhD ABOUT GHENT UNIVERSITY Ghent University is a
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(ongoing PhD project). These pre-screened datasets will then be analyzed by various machine learning techniques (dimensionality reduction, unsupervised clustering, artificial neural networks, auto-encoders