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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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services supporting research within the SolMates project development and extension of the web-based research data management platform NOMAD within SolMates contribution to the full software development
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-omics integration. Produce High-Impact Outputs: Deliver internationally competitive research through publications, conference presentations, and reproducible software. Foster Collaborations: Work closely
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complex clinical trials, with proficiency in one or more statistical software packages (e.g. Stata, SAS, R). Be expected both to support the DQASS contract and externally funded research projects, including
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addition to carrying out bench research using electrophysiological recording, the successful candidate will be expected to help develop data management software for managing and analyzing large volumes
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, Ultrasound) and clinical software in radiation therapy such as treatment planning and image guidance tools. The overall goal of the research is to develop practical AI technologies that can directly benefit
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, building software, and potentially collaborating on applied health sciences projects. Basic Qualifications Candidates should have a doctoral degree in biostatistics, statistics, or a related field. Strong
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experience of successful project management and compliance with relevant governance and quality standards Experience in management and analyses of large quantitative datasets using relevant software (e.g
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Reference Number AE2026-0036 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0036.pdf CALL FOR
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in this form https://www.it.pt/Positions/OtherResearchPosition/8307 After the notification of the results, candidates have 10 working days if they wish to contest the decision. E-mail submissions will