745 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" uni jobs in Spain
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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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of these protocols. Financiada con cargo al mecanismo de recuperación y resiliencia (MRR), en el marco del plan de recuperación, transformación y resiliencia (PRTR). Share this opening! Use the following URL: https
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. Applications are invited for Principal Investigator (PI) at Center for Life Sciences (http://www.cls.edu.cn/english/ ). As a pilot program of the National Plan for Education Development and Reform, Center
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in the jobs section of the IRBLleida website (https://www.irblleida.org/en/jobs/) before the 31st of January 2026. To formalize their application, candidates must submit the following: Candidate’s CV
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information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some
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‑Lab Notebooks with structured templates, enabling FAIR‑by‑design data generation. This includes the creation of institutional AI‑ready catalogues and benchmarks, interoperability with PIDs and metadata
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, PCB layout), simulation, and debugging of system hardware circuits; responsible for the development, coding, and testing of core control software for the system, upper computer software (human-machine
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. Applications that do not include this information will be automatically rejected. The collaboration with the UOC will be based on the provision of professional services. Please refer to the following link
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or requirements, and any other information relevant or helpful for us to consider. Curriculum Vitae: Please include a list of your peer-reviewed publications, any major prize/award and patents. If you have been
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performance. A key aspect of the PhD will be the systematic documentation and curation of experimental data in a FAIR-compliant materials database, including synthesis protocols, characterisation results, and
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). The candidate will design and apply integrative data analysis (computational/statistical/causal) and visualization techniques for multi-omic (transcriptomics, mirnomic and proteomics) data to address research