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data processing Competence in acquiring, handling, and analysing large and complex datasets, including multi-omics and perturbation-response data, with a strong emphasis on data quality, reproducibility
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workflows for single-cell, spatial, and clinical proteomics. complex experimental design and large-scale data generation, ensuring high-quality, reproducible results in a high-throughput facility environment
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of sulfide research on Southwest Indian ridge: Major Research in Geophysics, Sulfide mineralization, Resources assessment The big data analysis on geochemistry of seabed igneous rocks and its applications
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, immune, metabolic) · Brain–computer interfaces and neuroengineering · Health big data analytics; advanced intelligent diagnostics/therapeutics Qualifications · M.D., Ph.D., or equivalent, plus postdoctoral
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to help deliver a step-change in health data science in Italy. The Centre’s mission is to systematically generate, mobilise, and harvest “big data” allowing agnostic and dynamic collection of information
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generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information and deliver a new class of research that will enable a better understanding of the clinical
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and execution of ongoing contingency management or biomarker-focused research projects. Publish key findings in peer-reviewed journals. Support the PI and collaborators with scientific development, data
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and/or large groups, and development of written training materials, psycho-educational lectures and workshops. Demonstrated experience in providing crisis intervention and consultation. Ability to work
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of Electronic and Electrical Engineering Department of Computational Biology and Medical Big Data Faculty of Biomedical Engineering Department of Life Electronics Department of Imaging and Information Department
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large teams to execute research programs. • Professor and Associate Professor: You are an accomplished researcher with a stellar track record of publications and remarkable achievements. With at least