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study cycle or non-award courses of Higher Education Institutions. Preference factors: Programming experience in Python; Knowledge of machine learning and computer vision Minimum requirements
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the field of Artificial Intelligence and experience using machine learning and deep learning development environments and libraries is a plus. As set forth FCT Research Scholarship Regulation No. 950/2019
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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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specifically in Business Analytics & Decision Sciences, and candidates must be able to teach in one or more of the following: core analytics (machine learning, statistics, optimisation, decision analysis
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Analytics & Decision Sciences, and candidates must be able to teach in one or more of the following: core analytics (machine learning, statistics, optimisation, decision analysis); programming for business
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in different programming languages applied in the field of biology; knowledge of machine learning, biostatistical analysis, database creation and implementation; proficiency in English (written and
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with machine learning. Evaluation of the final solution. V - Initial grant duration: 5 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial conditions of the grant VI.I