32 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" scholarships at FEUP in Portugal
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2022.09373.PTDC financed by national funds through FCT/MECI, under the following conditions: Scientific Area: Machine Learning/Recommender Systems Admission requirements: Candidates who cumulatively meet the
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for applications for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration
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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 (Statutes of Scientific Research Fellow
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-vision algorithms with edge-computing processing for the automatic detection of non-conformities. Machine-learning techniques will be applied to optimize cutting parameters, and the module will be
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/10.54499/2023.11234.PEX , funded by national funds through FCT/MECI, under the following conditions: Scientific Area: Machine Learning applied in Applied to Fluid Dynamics Simulation Admission requirements
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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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available to FEUP - FEUP| Bolsa de investigação |recyBRASS_5 Work Location(s) Number of offers available1Company/InstituteFEUPCountryPortugalGeofield Contact City Porto Website https://sigarra.up.pt/feup/pt
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improve existing degradation models. T3 - combine computer vision and machine learning models to identify, delimit and classify the facades’ anomalies in photographs and thermal images; integrate the new
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within the framework of project “FiberNest XL - equipamento de corte a laser de fibra de grandes dimensões com auto-nesting”, with nr. 20436 and operation code at the Funds Platform (Balcão dos Fundos
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at FEUP - FEUP| 1 Bolsa de investigação |NAM-FISH Work Location(s) Number of offers available1Company/InstituteFEUPCountryPortugalGeofield Contact City Porto Website https://sigarra.up.pt/feup/pt Street Rua