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6 Jan 2026 Job Information Organisation/Company QUEENS UNIVERSITY BELFAST Research Field Biological sciences Educational sciences Researcher Profile First Stage Researcher (R1) Country
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6 Jan 2026 Job Information Organisation/Company INESC TEC Research Field Computer science » Programming Computer science » Informatics Researcher Profile First Stage Researcher (R1) Country Portugal
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6 Jan 2026 Job Information Organisation/Company INESC TEC Research Field Computer science » Programming Computer science » Informatics Researcher Profile First Stage Researcher (R1) Country Portugal
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multi-omics data and the use of machine learning and data science techniques. Strong publications record according to his/her career stage. Skills: Excellent programming and scripting skills, with deep
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records at the TRUST platform (https://trustplatform.sg/) . We are inviting a motivated Research Fellow to join our PRECISE-SG100K collaboration to work on the dataset (https://www.npm.sg/phase-ii-precise
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4 Jan 2026 Job Information Organisation/Company INESC TEC Research Field Computer science » Informatics Environmental science Researcher Profile First Stage Researcher (R1) Country Portugal
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collaboration to work on the dataset (https://www.npm.sg/phase-ii-precise-sg100k/) , specifically on the proteomics data. The Research Fellow will drive proteomics and pQTL research within a multidisciplinary
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topological phases. This position offers an opportunity for multi-institutional collaboration with experimentalists in condensed matter (material growth) and AMO (optical spectroscopy). The appointment could
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experimental microbiology, where experience in conducting high-throughput experiments and/or working with multi-species communities would be beneficial. This position provides an excellent opportunity
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
1801P.01158.1.04, financed by national funds through FCT/MCTES Workplan: To develop a two-stage multi-scale vision-language model for the identification and classification of breast lesions in high