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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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The Mathematical Modelling of Infectious Diseases at Institut Pasteur consists of 12-15 researchers at different stages of their career developing state-of-the-art statistical and mathematical methods to analyze
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
, including transparency, blending, and perceptual separability. Develop and evaluate methods for perceptually grounded symbology selection, including simulation-based assessment across multiple background
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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on machine and deep learning methods for analyzing the heterogeneity of microbiota and inferring activities of biological pathways. The Institute provides an international and interdisciplinary research
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in populations under selection. However, currently, no unbiased method exists to accurately estimate genetic variance in populations under selection. The GEN project aims to develop and validate a
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
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making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do outstanding things in the world. Being a part of Durham is about
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foundation of democratic states. Currently, AGR and UCLouvain own a large number of digitized and digital-born documents from a wide variety of sources from different periods. This diversity offers a challenge
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses