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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
enhancer activity and in the transcription levels of their respective target genes, particularly in endocrine pancreas. These models will help us to predict if a given NucAlt in enhancers might be important
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systems; Improves prediction accuracy and computational efficiency through fine-resolution data fusion, bias correction, and model surrogate development; and Conducts experiments comparing AI-enhanced
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)—to enhance decision-making in dynamic environments. ML predicts load variations and failures, SDN enables centralized resource management, and NFV supports flexible service deployment.This thesis project
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to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting
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Modeling Center (EMC) and Climate Prediction Center scientists in the design of numerical experiments. Required Qualifications: Terminal degree in a related field or the equivalent combination of education
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bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how
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large dataset of P. aeruginosa genomes and experimental metadata to predict key mutations to the organism. The postdoctoral researcher will join the Whelan lab led by Dr. Fiona Whelan. The Whelan lab is a
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Application deadline: All year round Research theme: Environmental geochemistry How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD studentship is open to EU, UK, and US applicants. The
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modelling, ideally with the use of innovative computational methods (e.g. agent-based and predictive modelling, bioinformatics). Relevance of research to human evolution is required. The position has a
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application! Your work assignments Spatio-temporal processes are everywhere in science and engineering, with applications ranging from weather prediction to cardiovascular medicine. Developing machine learning