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: Among others, the following qualifications will be prioritised: Programming and algorithmic skills Experience in object-oriented programming Knowledge of .NET, HTML, CSS, JavaScript, and Bootstrap
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
for Science and Technology, I.P., both in their current wording. 2. Activity objective: Research and implementation of advanced Optimization and decision-support algorithms using Artificial Intelligence applied
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for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration, with nº 15456, and
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symbolic language. This foundation supports a novel alignment algorithm that quantifies inconsistencies, offers actionable compliance scores, and exposes bottlenecks across control-flow, data, and resource
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to the limit set out in the RBI-ISEP. 4. ACTIVITY OBJECT / WORK PLAN The work plan involves the following tasks: - Design and computational implementation of methods, algorithms, and applications
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to explore new optimizations, such as data deduplication, support for multi tenancy, and new scheduling algorithms. These optimizations should be implemented and integrated into the platform.; Implementation
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selection of sensors and their respective lighting to be adopted.; 3. Study and development of algorithms for detecting inconsistencies.; 4. Study and implementation of operator interfaces.; 5. Assembly and
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recommendation mechanisms based on semantic analysis and natural language processing, with the aim of facilitating collaboration and convergence of proposals. Developing and training NLP algorithms in multiple
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learning algorithms, and design of optical communication networks or power consumption and energy saving. The synergies of MATCH consortium act together to enable the thirteen DCs to become the next
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://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Development and testing of algorithms and methodologies based