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–5): selection of relevant climatic variables and application of statistical modelling and/or machine learning techniques to predict risk. 3) Preliminary validation of the predictive model using
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Group PhD students and students in the final year of a Master's degree with a strong focus on research topics combining digital technology and sustainability Academic Requirements current enrolment in a
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for applications for 2 research grant (Master’s Degree), enrolled in a PhD or a course that does not confer academic degree , within the framework of project La Caixa EndoLEGUME with the reference PD25
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for this grant: Requirement 1: - Be a student enrolled in a doctoral program in the area of Materials science, Machine Learning computational science, Coating and surface engineering a requirement to be duly
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the scientific guidance of the PhD Diogo Canavarro, who must draw up an opinion on the final activity report of the scholarship (Annex II), according to the draft in Annex III. Duration
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application of statistical Machine Learning tools. WORK PLAN Collaborate in the following tasks of the project: a) Contribute to the design and development of the Life Cycle Assessment (LCA) system; b) Support
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of methodologies and machine learning algorithms for the detection of anomalous behaviors in flow rate
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Instituto Superior de Contabilidade e Administração do Porto do Politécnico do Porto | Portugal | about 2 months ago
Infrastructure? No Offer Description A call is hereby opened for the award of a Research Grant (RG) for research and development (R&D) activities to be carried out by a PhD student holding a Master’s degree
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methods for elemental tracking of Ca under biotic and abiotic environments in a range of substrates and microbial metabolic pathways using stable isotopes. 3 year PhD project available at Curtin University
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Recipients profile/category Mandatory requirements: Bachelor’s degree in computer engineering. Enrolment in a master programme in Computer Engineering. The documents proving the enrolment in a master programme