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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 12 days ago
type 1 diabetes mellitus mouse/rat models; Competitive scientific publication track-record. Additional Information Website for additional job details https://dozer.i3s.up.pt/fileupload/downloadfile
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image data; Experience in data analysis programs, with special focus on the R programming language; Experience in the development and validation of predictive models applied to the health area
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modelling, GIS and science communication. 8. The selection of the PhD holder to be hired will be based on an evaluation of the candidates’ academic and professional backgrounds. This evaluation will focus
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, including organisation and facilitation of focus groups and thematic analysis; c) Development and feasibility testing of a flexible evaluation model for under-assessed mental health programs in higher
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", accompanied by the following documents: Copy of the identity card/passport Detailed Curriculum vitae Copy of the certificates of qualifications Motivation letter Two recommendation letters Work plan, 6 pages
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 18 days ago
‘centromeric’ view on ageing by: i) characterizing age-associated changes in centromere features in cellular models; ii) identifying the intrinsic (genetic and epigenetic) and extrinsic (viral infection
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models to predict errors in auditing. This will cover all stages of the project life cycle, including data acquisition, pre-processing, model development, model testing, and reporting of results
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, with a view to developing and carrying out the above-mentioned project and related scientific activities, with a particular focus on the development of analytical models (data science – machine learning
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the in reconstruction of gravity theories in holographic models within the context of the AdS/CFT duality. 2 – Collaborate in teaching and participate in the institution's training programmes
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the scientific field of the competition. c) Previous experience in statistical analysis of time series and mixed models. d) Previous experience in processing and analysing physiological data (electrodermal