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Field
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Engineering stream. The candidate will also be expected to participate in UM6P's collective projects and external missions, and to provide support to students (PhD and Master), i.e., supervision for the writing
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for the autonomous selection of a specific research topic from the areas represented within the group. The group’s interdisciplinary focus includes not only classical topics in numerical analysis, e.g. the analysis
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these may be taken into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in
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into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in programming, physical modeling
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Research FieldPhysics » OpticsEducation LevelPhD or equivalent Skills/Qualifications Holder of a PhD in in Chemistry and/or Physics, you ideally have a first experience in optical activity. • You are
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria •PhD in accelerator physics or a related discipline •Training or experience in accelerator physics
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are designed to empower (forms of) safeguarded AI specifically with LLMs and T2Is, by O1) mapping PRLs automatically onto representations usable by autonomous agents to engage in debate; O2) using
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combining pulsed excitation with state-of-the-art array detectors and photon time-tagging Implementation of a data analysis framework for robust, autonomous, and real-time data evaluation for FFS Proof
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 19 days ago
First Stage Researcher (R1) Positions PhD Positions Application Deadline 16 Apr 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Full-time Hours Per Week 40 Offer
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relationships in next-generation electronic materials. This role involves creating AI models for real-time data analysis, enabling autonomous experiments through active learning and "curiosity-driven" exploration