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sciences » OtherEducation LevelPhD or equivalent Skills/Qualifications PhD in one of the following fields: environmental or energy social sciences, sociology of law, sociology of public action, sociology
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by CREOP with other institutes and research teams, XLIM and OMIJ, is designed to support the transformation of the Limousin region by analyzing the dynamics and growth drivers of active players in
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Eligibility criteria PhD in Materials Science, Process Engineering, or a similar field. Required Skills: Proficiency in ceramic and composite material development processes, as well as structural, mechanical
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description RESEARCHER PROFILE: Postdoc/R2: PhD holders RESEARCH FIELD(S)1
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research prototype, a system designed to integrate GDPR compliance directly at the operating system level. Main tasks : - Becoming familiar with the rgpdOS prototype - Designing BPF functions to extend
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multidisciplinary supervision and state-of-the-art analytical tools (FTIR, AFM, SEM, DSC, SEC). Main mission : Design, implement and interpret physico-chemical analyses to characterize the degradation and
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, the research involves participation in the design of quantum devices with our collaborators within the QLSI2 european consortium, optimization of spin readout at large scale, development of automatic control
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Research FieldChemistryYears of Research ExperienceNone Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria We are seeking a physicist or engineer with a PhD in
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/Qualifications Candidates must have obtained their PhD in computer science or electronics with a specialization in embedded systems or hardware design within the last three years. · Solid background in
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 18 hours ago
to predict protein binding interfaces in flexible and disordered regions. bioRxiv. Design and implement novel graph neural network architectures (Message-passing GNNs, Graph Transformers, graph community-aware