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would be highly desirable. * Knowledge of electronics, FPGA technologies or digital acquisition systems would be an advantage. * Ability to independently develop, implement and characterize experimental
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used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
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engineeringEducation LevelPhD or equivalent Skills/Qualifications We are looking for an enthusiastic researcher with a PhD in Polymer Science, Materials Science, Chemical Engineering, Mechanical Engineering, Chemistry
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) Positions PhD Positions Application Deadline 15 Sep 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU
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FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications Core competencies: • PhD in operations research, applied mathematics, industrial engineering, or related fields • Strong
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. To contribute to the reputation of the School, the Institut Mines-Télécom and the Institut Polytechnique de Paris. Job requirements You hold a PhD or equivalent qualification. You have expertise in computer
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/Qualifications The successful candidate shall hold a PhD in metal additive manufacturing principles, ideally wire-fed processes such as WAAM, EBAM, and WLAM. Core competencies: - Ability to implement and conduct
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ExperienceNone Research FieldPhysics » Surface physicsYears of Research ExperienceNone Additional Information Eligibility criteria A PhD in experimental physics and a background in the study of correlated-electron
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is to study the structural dynamics of biological photoreceptors by either time- time-resolved cryo-electron microscopy or time-resolved X-ray crystallography in view of biotechnological applications
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IRCM - Cancer Research Institute of Montpellier | Montpellier, Languedoc Roussillon | France | 3 months ago
, Computer Vision, AI, Medical Imaging, or a related discipline. ● At least 3 years of research experience (post-PhD), ideally in an academic or public research setting. ● Solid grasp of deep learning theory