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monthly bank transfer to an account held by the grantee. 5 | OBJECTIVES/WORKPLAN Design, develop and evaluate methods for estimating the expected impact of retraining or fine-tuning machine learning models
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the overall problem a challenge, both from a statistical and computational point of view. In this context, artificial intelligence and machine learning offer a great opportunity for the effective quantification
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15 May 2024 Job Information Organisation/Company Universidade do Porto – HR Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country Portugal
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15 May 2024 Job Information Organisation/Company Universidade do Porto – HR Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country Portugal
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1 (UMA) BOLSA DE INVESTIGAÇÃO PÓS-DOUTORAL (BIPD) / 1 (ONE) POST-DOCTORAL RESEARCH FELLOWSHIP (PDRF)
; Experiência na utilização de cinzas volantes e resíduo de vidro em matrizes cimentícias; Experiência em SPSS, Machine Learning, Linguagem Python e Linguagem C; Experiência em modelos estatísticos lineares
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) Hold a MSc degree in Electrical and Computer Engineering and meet the conditions to be enrolled on cycle of studies leading to the PhD degree or in a non-degree course; If the required academic degree
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is open to award (1) research grant within the R&D Project “TuRUpAI – Multiscale modelling for optimum retrofitting of tunnels with fibre reinforced shotcrete designed by machine learning”, with
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. Priority will be given to candidates with consolidated knowledge in: Intelligent Data Analysis (e.g., Machine Learning, Data Science), database technologies and R and Python programming environment
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 18 days ago
@iti.larsys.pt Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications Admission Requirements: to hold a PhD degree obtained in the 3 years previously
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Portugal and start working on the project on the date set out in Point 6. of this Notice. Preferred factors: Training in machine learning and programming (e.g., Python); knowledge in deep learning (e.g