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contact: Prof. dr. Balazs Bodo E: [email protected] Where to apply Website https://www.academictransfer.com/en/jobs/362627/postdoc-trustworthy-digital-ide… Requirements Additional Information Website
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) Positions Postdoc Positions Application Deadline 24 Jul 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Not Applicable Offer Starting Date 20 Jul 2026 Is the job
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, computer science, or engineering within the past 5 years. Previous theoretical and/or computational research experience in tensor networks, Monte Carlo, machine learning or a related field Proficiency in quantum
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31 Jul 2026 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile Established Researcher (R3) Positions Postdoc Positions Application
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infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable use of clinical data for AI and machine learning applications in complex diseases such as Cancer, Alzheimer's
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science Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 2 Sep 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours
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analytics, including correlation analysis and machine learning techniques. Preferred Qualifications: Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD). Experience in mechanical
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15 Jul 2026 Job Information Organisation/Company UNIVERSIDAD DE ZARAGOZA Department EUROPEN PROJECTS OFFICE Research Field Engineering Researcher Profile Leading Researcher (R4) Positions Postdoc
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
salary grade of up to E 13. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD). The position has an (initial) fixed term of 2 years but may be extended under
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economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and