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(IMI, IMT, IRS, Census) with descriptive methods and causal econometric techniques. It will use various approaches to identify vacant dwellings, including machine learning algorithms to visually detect
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(IMI, IMT, IRS, Census) with descriptive methods and causal econometric techniques. It will use various approaches to identify vacant dwellings, including machine learning algorithms to visually detect
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hybrid model structures for the production of biosimilars; Development of deep learning algorithms for hybrid model structures; Optimisation of reactor control based on deep hybrid models; Implementation
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: Review of the State of the Art in AI and Procurement; General system design; Development of AI algorithms and functionalities (including testing and evaluation) Preparation of project reports as
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technological dissemination initiatives, particularly in the field of Physical or Electrical Engineering . Development of algorithms, support for the installation of the DAS, and real-time event monitoring. WORK
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OF THE WORK PROGRAMME AND TRAINING: 1) Development of workflows and algorithms to complement datasets of connected data spaces, to improve analysis results (forecasting, analysis of financial tools, predictive
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: Review of the State of the Art in AI and Procurement; General system design; Development of AI algorithms and functionalities (including testing and evaluation) Preparation of project reports as
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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Applying anomaly detection algorithms for streaming network data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND
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testing. The work is expected to strengthen the reliability and predictive accuracy of SGB and related machine learning methods, i.e., those that share common algorithmic steps, in contaminated settings. 4
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optimizations, such as new data caching algorithms. Develop a prototype that integrates the optimizations and experimentally evaluate the prototype.; Integrate the optimizations with a new modular and flexible I