102 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Portugal
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of article nº 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Intelligent, modular battery with machine learning algorithms. The aim is to develop a high-performance
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Grant(s) (RG) in the scope of R&D projects FireLSF - Development of predictive models for the fire resistance of light steel frame walls - an integrated experimental, numerical and machine learning
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Associação COLAB TRIALS - Laboratório Colaborativo para a Inovação em Ensaios Clínicos | Portugal | 3 months ago
; Ability to define strategies for outreach and exploitation; Computer skills (ex Microsoft Office) and knowledge or ability to learn how to manage directories/platforms; Basic knowledge of development and
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integrating biomedical, epidemiological, or environmental data. Must show solid skills in computational modeling, multivariate statistics, and/or machine learning. Proven proficiency in the English language
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for further studies in the field of scientific computing involving machine learning models for viscoelastic fluid flows. Legislation and regulations: Law Nº. 40/2004, of 18th August, in its current wording
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buildings, including reality capture using laser scanning and photogrammetry, automatic anomalies identification with Deep Learning techniques, and anomalies mapping using Ray Casting techniques. Requirement
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FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento | Portugal | 3 months ago
Doctoral Candidate position within the project HORIZON-MSCA-2024-DN-01 – GA 101226058, entitled “Low Data Machine Learning for Sustainable Chemical Sciences”, funded by the European Commission. This project
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 3 months ago
research in microbial genomics, in particular related to natural products biosynthesis and using metagenomics and genomics datasets. Experience in machine learning and the application of artificial
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should possess a strong background in advanced computing and data science, machine learning, or in a related field, with expertise in monitoring data reliability, quality assurance, and AI modelling
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, and clustering methods; Knowledge of machine learning approaches for classification and patient stratification is valued; Postdoctoral experience in the appropriate field, with research outputs ideally