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) Positions Postdoc Positions Application Deadline 12 Oct 2026 - 17:00 (UTC) Country Portugal Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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Researcher (R2) Positions Postdoc Positions Application Deadline 2 Oct 2026 - 17:00 (UTC) Country Portugal Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework
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10 Sep 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions Postdoc
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-101094250, designated by IMAGINE - “Next generation imaging technologies to probe structure and function of biological specimen across scales in their natural context” funded by the European Commission
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and quantitative image analysis. The results will be integrated with previous data, contributing to the characterization of the mechanisms underlying mitochondria–lysosome communication and to
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will be experimentally tested, with an analysis of the resulting fatigue life and crack trajectory. The tests will be monitored using a Digital Image Correlation (DIC) system, enabling the determination
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Researcher (R2) Positions Postdoc Positions Application Deadline 31 Aug 2026 - 17:00 (UTC) Country Portugal Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 4 Aug 2026 - 00:00 (Europe/Lisbon) Country Portugal Type of Contract Other Type of Contract Extra Information Research fellowship Job
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insurance, supported by INESC TEC. 2. OBJECTIVES: • Research novel deep learning models for anatomically structured EGGIM estimation.; • Develop methods for image-level and examination-level reliability
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the