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Eligibility criteria Candidate profile: We are looking for a motivated and curious candidate, with a strong passion for science and for scientific discovery through the use and creation of new neural networks
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for the intended application (varnish, paint). - Conducting bibliographic research. - Analysing, formatting and communicating the results. The work will be carried out at the Institute of Chemistry and Processes
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candidate will work in the frame of a regional project ESKYMO. His/her missions will include: the definition of the thin films characteristics in relation with the engineer for the growth of the oxide thin
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effects on the performance of an integrated circuit (IC). 2. Identification of aging and/or performance signatures that can be extracted using non-invasive and non-destructive methods, such as imaging
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Description CNRS offers a 18-month fixed-term contract researcher position to work on the recently funded project ACCTS (“Assessing cirrus cloud thinning strategies by learning from aerosol-cirrus interactions
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) Application Deadline 6 Mar 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Part-time Hours Per Week Less than 35 Offer Starting Date 23 Mar 2026 Is the job funded through the EU Research
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matter gravity simulators, enabling the identification of exotic properties of relativistic materials. Use of various theoretical methods to study the effects of field theory properties in curved spacetime
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of the ANR Etiene The successful candidate will work with project leader Régis du Moulin de la Bretèche and members of Number Theory or Automorphic Forms teams. Research activities in analytical number theory
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The position is part of a research project aimed at
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existing structural and functional MRI data, acquire new data in collaboration with clinical researchers, and prepare publications and conference presentations. - Study preparation - Data acquisition (MRI