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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 5 days ago
of grain structures on welds with a high number of passes. see more here : https://www.cemef.minesparis.psl.eu/wp-content/uploads/2026/01/Phd_ATAL… Funding category: Financement public/privé PHD title
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 17 Feb 2026 - 17:00 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Is the job funded
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/Qualifications Candidates should have received their PhD after January 1st 2018 and should demonstrate a track record and research vision that would make them competitive for top-tier early-career funding schemes
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-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is € 3.059
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Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you
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Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctoral study program: Life Sciences
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number EU MCSA-DN prosjekt Switchfloc Is the Job related to staff