228 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" Fellowship positions in Portugal
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, inferential, and multivariate methods, including principal component analysis (PCA), regression, and machine learning algorithms (e.g., Random Forest), with the aim of integrating various environmental exposure
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association or cooperation between a High Education Institution and one or multiple research units, namely in the area of Computer Science or related areas. Work plan: Develop a system to perform a large number
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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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of the art in emerging wireless networks; - identify and select the methodologies and approaches most suitable for the development of the work; - strengthen the research and development competencies
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; - collaborate in the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed; - develop new modules to enable the simulation and/or experimentation of emerging wireless
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of a multi-modal dataset.; - Implementation of a software module for storing datasets according to a pre-defined standard.; - Development of routines for testing existing ML algorithms on a multimodal
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. Enrollment in PhD in Informatics, or a non-degree course developed in association or cooperation between a High Education Institution and one or multiple research units. Work plan: Develop and evaluate a
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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
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alongside other team members, and measuring light and noise pollution using multiple instruments and sensors, along with GIS techniques. The fellow will model the response of species and functional groups
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programme of R&D projects geared towards the development and implementation of advanced cybersecurity, artificial intelligence and data science systems in public administration, as well as a scientific