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analysis methods, including mixed-effects survival models and mixed-effects models applied to plant growth; experience within a Bayesian framework is highly desirable. 3. Strong skills in data analysis and
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qualitative and/or quantitative data analysis software (SPSS, R, MAXQDA, Power BI, as well as knowledge of AI platform integration tools (e.g. Model Context Protocol). c. Academic or professional experience in
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equation modelling; Attended PhD programme. Work plan and goals to achieve The work focuses on understanding the adoption, use and value of IT innovation. The aim is to understand the main drivers
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the same consequence applies when the supporting documents are not organized according to the model in Annex A. 20.5 Candidates must formalize their application by submitting the documents through
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the candidate implies that the elements that should prove it will not be evaluated, and the same consequence applies when the supporting documents are not organized according to the model in Annex A. 20.5
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submitted by the candidate implies that the elements that should prove it will not be evaluated, and the same consequence applies when the supporting documents are not organized according to the model in
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
. Project summary and work plan The work plan associated with this fellowship is focused on developing complex organ-on-a-chip systems, compatible with functional imaging techniques and integrating sensing
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 29 days ago
systems that simulate and model human behaviour in immersive environments. Integrate psychophysiological data (e.g., EEG, EDA, EMG) into interactive digital applications for experimental and clinical use
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
related fields; Proven experience working with in vitro models and/or in vivo models (Drosophila); Solid experience in cell culture and molecular biology; Proven expertise in standard biochemical and
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spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication