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research, including the development or integration of algorithms, decision support tools, predictive models, artificial intelligence, visualization and analysis of health data, as well as the use
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: Knowledge of agronomy, irrigation, modelling, and programming 6. FUNDING AND SCHOLARSHIP COMPONENTS The grant will be financed within the scope of the project Horizon-IA Project 101156867 Path4Med
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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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will exploit multidisciplinary consortium expertise spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine
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activities in the field of Microbiology in the scope of the R & D Project “Establishing Yeast as a Model for Studying Horizontal Gene Transfer Dynamics in Eukaryotes” related to operation no. 15213, with
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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