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Field
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D – Work plan with a weighting coefficient of 40% Candidates who have obtained a rating lower than 9.5 points (out of 20 points) in any of the criteria will be excluded from the procedure, with
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
remote sensing data. Rather than relying on traditional assumptions, it uses modern generative AI models, particularly diffusion models, to better represent priors and sample the posterior probability
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code COMPETE2030-FEDER-00743400, cofunded by Programa de Inovação e Transição digital (COMPETE2023), by the Fundação para a Ciência e a Tecnologia – FCT I.P, by PORTUGAL 2030 and by the European Union
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modelling is a valuable tool to revealing the source of UTLS aerosols, the origin of water masses, and formation processes of cirrus particles. Your key responsibilities include: Preparation, operation, and
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mandatory to present the record of recognition of the academic degree and the conversion of the final classification to the Portuguese scale (process regulated by Decree-Law No. 341/2007, of 12 October
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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
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with collaborators developing genome-scale and process-level models. PhD position in adaptive responses of complex methanogenic microbiomes (3 years) This position centers on complex microbial
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conduct fieldwork across European mountain ranges and model the distribution of microbial taxa. The newly generated data will be complemented with distribution records from our in-house global fungal
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biopolymers for the cartilage and bone regeneration; - to process the selected compositions and produce biopolymeric and nanocomposite fibrous mats by electrospinning technique; -to functionalise the prepared
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PhD candidate to work on advanced modelling of fillet welds in aluminium structures. The project focuses on understanding how weld geometry, alloy composition, thermal history, and manufacturing