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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Jan-26 Location: Clinton, New York Categories: Academic/Faculty Physical Sciences Internal Number: 510E56D2-26D6
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Mutuelle, negotiated by Ecole polytechnique Selection process Interviews will be conducted online starting early February 2026. Website for additional job details https://econjobmarket.org/positions/12298
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cutting edge of medical physics, oncology, and imaging science, contributing directly to the future of pediatric care. Where to apply Website https://www.academictransfer.com/en/jobs/357579/phd-position-in
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15 Jan 2026 Job Information Organisation/Company Örebro University Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Application Deadline 11 Mar 2026 - 22:59 (UTC
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 days ago
10 Jan 2026 Job Information Organisation/Company Centre de Mise en Forme des Matériaux (CEMEF) Research Field Technology » Materials technology Mathematics Computer science » Digital systems
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or equivalent Skills/Qualifications • A PhD in Materials Science, Physics, Chemistry, Chemical Engineering, Computer Science, or a related field. • Demonstrated experience in one or more of the following: Density
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-01_00330247.pdf (Reference TEM2508) Where to apply Website https://sede.upo.es/opencms/system/modules/sede/index Requirements Research FieldBiological sciences » BiologyEducation LevelBachelor Degree
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We are looking for highly motivated early-career postdoctoral scientists willing to conduct independent research in computational biology at Nantes University in France. Nantes University has
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(TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently seeking a highly motivated PhD student to join our team
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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning