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- INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA
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feature selection in the context of stock market prediction (e.g., for predicting S&P 500 movements). Simple filter methods as well as evolutionary algorithms will be used as part of the project, which will
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
biology as a high-dimensional, dynamic, networked system, applying techniques from machine learning, causal inference, statistics, and algorithms. No prior biomedical training is required—just strong
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machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
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(IoT) Computer networks Computer Architecture Computer Science for Accounting & Finance Computer Science for Marketing Parallel Computing (including Algorithms) Computational Intelligence (Evolutionary
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by applying existing and novel computational biology, bioinformatic, and machine learning algorithms to sequencing datasets and correlating them with multi-dimensional clinical datasets that contain
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graph-based algorithms for genetic data. The specific project involves understanding the unique evolutionary histories of diverse populations, both in humans and other species. The research specialist
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environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives will include
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Linux environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
(beam intensities). Global optimization methodologies capable of efficiently exploring high-dimensional solution spaces will be investigated, including nature-inspired metaheuristics, evolutionary
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- and long-term forecasting. Design hybrid AI architectures and optimize them using advanced techniques such as attention mechanisms and evolutionary algorithms. Implement probabilistic and explainable AI