776 master-"https:"-"https:"-"https:"-"https:"-"Dr"-"Mines-Paris-PSL" Fellowship positions
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with principal investigators, collaborating colleagues, and lab members Job Requirements PhD qualification degree in biochemistry, molecular biology, cell biology or a related field Hands-on experience
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Knowledge Verification. Your main duties and areas of responsibility This project pioneers a Neuro-Symbolic AI framework addressing the critical "hallucination" barrier in Generative AI (GenAI). Currently
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maintenance decisions. The duration of the position is 3 years. Your main duties and areas of responsibility Norway’s bridge infrastructure is aging, and the need for data-enabled inspection, maintenance, and
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and interdisciplinary interpretation of the data are key aspects of the position. The successful candidate will join our Biodiversity & Palaeogenomics research group with master students, PhD fellows
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Research Associate, Translational Research Fellow - Dept. Ophthalmology Visual & Anatomical Sciences
: Under the direction of the Principal Investigator, provide scientific and technical assistance to complete laboratory based, clinical or population science research. May assist in writing research
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positions in the field of embodied artificial intelligence and autonomous robotic systems. The duration of the positions is 3 years. Your main duties and areas of responsibility The Department of Mechanical
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. The successful applicant is expected to complete a doctoral degree during the period of employment (3 years, full-time). Your main duties and areas of responsibility The project involves research and development
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Location: Leeds - Main CampusWorking time: 37.5 hours per weekContract type: Fixed term (36 months - to complete specific time limited work) Are you keen to advance glycoscience research across
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Digital twin and cloud platform mechanisms to facilitate decision support system Qualifications Eligibility Requirements: A master degree equivalent to a Norwegian master degree (120 ECTS). Applicants with
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and conducting original research and through publication as appropriate to the disciplinary area. To deliver research related to the project “AI enabled Satellite Morphological Inference from