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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
with enhancers. Indeed, the Iberian cohort of the 1000 Genomes database allow us to estimate that there are about 24.000 low frequency and 640.000 rare variants per individual. These values are similar
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this gap by developing a machine learning-based downscaling framework that links coarse resolution (0.25°-1°) reanalysis and climate model outputs to fine-scale (∼100 m) estimates of surface melt and
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Requirements Workplace and Eligibility Conditions Benefits Eligible Yes Benefits at UTA We are proud to offer a comprehensive benefits package to all our employees at the University. https://www.uta.edu/hr
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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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across all areas in Computer Science, including Algorithms and theory Bioinformatics and digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and
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classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research
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, supporting areas such as embedded systems, networking, cybersecurity and communication, advanced manufacturing, intelligent product design and development, information technology management, human-computer
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Number req25477 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N. Freeway Drive, Tucson, AZ 85705 USA Position Highlights
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, Virology Posting Number req25479 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N. Freeway Dr, Tucson, AZ 85705 USA Position
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Vacancy ID P020891 Full-time/Part-time Permanent/Time-Limited Full-Time Permanent If time-limited, estimated duration of appointment Hours per week 40 Work Schedule 7:15AM – 4:15PM Work Location CHAPEL HILL