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4 Sep 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering » Computer engineering Researcher Profile Other Profession
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the following fields: data science; digital humanities; quantitative political science; computational sociology; legal history; or a related discipline involving experience in data analysis, public policy
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MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices | Montpellier, Languedoc Roussillon | France | 5 days ago
Chemistry Technology » Materials technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 15 Oct 2026 - 22
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8 Oct 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme
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5 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Engineering Computer science Mathematics Researcher
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Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications -PhD in chemistry -Organic synthesis. -Peptide synthesis -Chemical analysis (NMR, LC/MS) -Preparation of hybrid peptide materials
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12 Sep 2026 Job Information Organisation/Company CNRS Department Institut de Biologie du Développement de Marseille Research Field Biological sciences Biological sciences » Biology Researcher
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Research FieldBiological sciences » BiologyYears of Research ExperienceNone Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR7009-FREBON-053/Default.aspx
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of Research Experience1 - 4 Additional Information Eligibility criteria -Recent PhD in Materials Science and Electrochemistry, particularly in the field of electrochemical energy storage. The candidate must
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by information and communication technology which could lead 20% of global energy production to be consumed by the adoption of artificial intelligence. Therefore, “unconventional” computing