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specialised in digital techniques. The successful candidates will be able to implement advanced digital skills, visualise, and interpret data obtained from the analysis of samples from different users
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AI, digital fabrication, and sustainable design into their work. b) work on European, national and regional research and innovation projects. c) grant writing for European, national and regional
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of both official languages of Catalonia. Advanced English level. Advanced computer skills (Excel, Word, PowerPoint, etc.) Skills will be valued Strong knowledge of molecular biology applied
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Profile: 0-60 points. Other merits: 0-20 points. The minimum score to pass the selection process is 60 points. Selection Committee CHAIRPERSON: Víctor Verdejo (full member) / Jordi Valor (alternate) MEMBER
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sustainability of biomaterial manufacturing through safe design methods, machine learning, and predictive life cycle assessment as well as developing machine learning and hybrid digital modeling methods, combining
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Research Infrastructure? No Offer Description The postdoc will lead research on the biological evaluation of mechanobiological lab-on-chip and digital twin systems, with a focus on designing and executing
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transcriptomics data analysis. Experience in quantitative image analysis, computer vision, or digital pathology. A strong background in cancer biology or immunology. Experience with machine learning, deep learning
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generic registry: http://www.registre.uji.es/ (indicating call PI code: 22531) In order to do so, candidates must have a UJI corporate account, a digital certificate containing an electronic signature
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: Develop experimental research and data analysis based on airborne and UAV infrared observations to extract descriptors of fire behavior. Functions to be developed: Process data from airborne campaigns (e.g
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21 Nov 2025 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Computer science Engineering » Computer engineering Researcher Profile