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                R&D activities by students enrolled in a doctoral program, aiming to consolidate their scientific training through the development of research work leading to the respective academic degree, whether 
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                compliance with relevant governance and quality standards. Experience in management and analyses of large quantitative datasets using relevant software (e.g. STATA or R) Demonstrable experience of successful 
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                simulation studies, applying the methods to electronic health records (EHR) and clinical trial datasets, and collaborating on dissemination through open-source R packages and associated tutorials 
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                Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 2 days agothe attribution of 3 (three) Research Fellowships for Master, within the scope of the R&D project “Host-directed medicine in invasive fungal infections”, with the reference 847507—HDM-FUN, funded by funds from 
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                commitment to supporting and advancing equality and inclusion in the Life Sciences. Closing Date: 24 Nov 2025 Category: Research and Teaching (R&T) Where to apply Website https://academicpositions.com/ad 
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                : Training in assessment and/or treatment of possible Autism Spectrum Disorder; using such materials as the ADOS-2, ADI-R, and/or other tools. Training in assessment and/or treatment of neurodevelopmental 
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                phone or urban mobility data. Advanced expertise in GIS and statistical tools or packages, such as R, ArcGIS Pro, QGIS, or STATA. Strong written and verbal communication skills. A developing track record of 
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                Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 days agointegrated in the educational project of a higher education institution, performed in association or cooperation with one or several R&D units; not to exceed with this contract, including the possible 
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                (quantitative and qualitative). They must also have experience working with large datasets and producing high-quality data visualizations and linking agronomic and genetic factors. Experience in Python/R would be 
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                cognitive experiments Expertise in both frequentist and Bayesian statistics performing descriptive and multivariate statistical analysis techniques such as SEM using SPSS and/or R language. Excellent ICT