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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ , https://gen3.org/ , https
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quantitative data analysis. Experience working with complex sample matrices (e.g. environmental waters, agricultural runoff, wastewater). Strong data handling and statistical analysis capability. Publication
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Institute for Health and Care Research (NIHR), as part of the NIHR Applied Research Collaboration (ARC) North East and North Cumbria. The researcher will support the ARC in joining national research networks
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fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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Comprehensive Cancer Center, hospital-based clinics, the 48X Complex, and our expanding network of community care locations. Each day, our clinicians support over 64 operating locations and provide more than
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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, simplicial complexes, manifold theory, fiber bundles, curvature). Familiarity with topological data analysis—persistent homology, filtrations, stability theorems—is particularly valued. Extensive experience
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dynamic and vibrant technology companies in Bulgaria, Greece and Europe, dealing with deep tech topics like cybersecurity, data privacy, artificial intelligence, 6th generation of cellular networks and next
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/University and wider community, including the ECMC Network. 13. Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members
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-generation wireless, geolocation and AI-enabled communication and networking systems. In these roles you will undertake research centered on the intersection of networking, communications, geospatial methods