951 data-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at Nature Careers
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, instrument operation, data acquisition, and analysis - identifying areas where innovation is needed and driving method development to address scientific challenges. They will also ensure optimal instrument
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statistical approaches for pharmacokinetic and pharmacodynamic data analysis are encouraged to apply. The biomedical modeling group is integral to clinical trial design and interpretation, and scientists
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The Clinical Research Associate II is responsible for performing data abstraction, collection, and entry to support clinical research. Develops, maintains, and/or monitors case report forms. Ensures
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. For questions about the position and the procedure, please contact the head of the appointment committee Professor Dr. Oliver Werz (oliver.werz@uni-jena.de ). For further information for applicants and the
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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection
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and workflows, incorporating AI/ML approaches where appropriate. Apply machine learning and advanced analytics to variant prioritization, disease association, and multi-omics data integration. Curate
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to Computational Research. This position will develop and lead the Data Integration and Scientific Collaboration to enable the Virtual Exploration of Childhood CanceR (DISCOVER) research team. This position
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& Denise Adams Center for Parkinson’s Disease Research and Scherzer Neurogenomics Lab combine population-scale human data (>30,000 deeply phenotyped participants), single-cell and spatial omics, and next
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diagnosis, disease prevention, and effective treatment. Your role: With an academic track record in computational sciences and strong experience in interdisciplinary collaboration, you catalyze data-driven
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. This may include metallic and ceramic structure materials, materials for future information technology, in particular quantum information and neuromorphic computing as well as 2D-materials. Further