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Field
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related disorders (ADRD). The Lab’s overarching goals are 1) to achieve a better understanding of the complex causes and mechanisms leading to ADRD, 2) to improve early detection and longitudinal monitoring
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following areas: human neuroimaging analysis (e.g., FSL, FreeSurfer, SPM12, ANTS, etc.), complex network analysis (e.g., modularity, centrality, etc.), and multi-omics data analysis. Strong programming skills
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North Cumbria Academic Health Sciences Network. NHIP forms an organisational partnership that allows practitioners, researchers and innovators to come together to discover, develop and deliver new
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contemporary streaming data scenarios, such as evolving baselines and complex, data-intensive settings. The applicant must master theoretical work in the field of change and anomaly detection and estimation, as
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evolving dynamics of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and timeframes relevant to decision makers. As the Nation's largest water, earth, and
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genomics and transcriptomics, single-cell RNA-seq, Perturb-seq) Demonstrated ability to clearly and effectively communicate about complex bioinformatics problems to both technical and non-technical audiences
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and Autonomous Maritime Navigation, partially funded within, Operational Zero Emission Ferries – Safe and Efficient Human-Autonomy Teaming in Complex Maritime Transport Systems, (BZERO) The position
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works to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease, through accurate machine learning models. Current areas of interest include
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The position is fully funded and based at NHM’s interdisciplinary and highly international research group Evolution, eDNA, Genomics and Ethnobotany (EDGE) . Opportunities for networking across evolutionary
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both practical and theoretical philosophy, and active research networks in ethics, political philosophy, environmental philosophy, and feminist philosophy. These interests come together in our research