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such as scRNA-seq, bulk RNA-seq, DNAm analysis, proteomics and clinical data integration to determine how IFN-I responses change during ageing. Application Procedure Applicants should submit a cover letter
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include simulation and control implementation, data analysis, and knowledge dissemination through technical documentation and stakeholder workshops. This is a full-time, fixed-term role starting 1 September
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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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. Recruits and screens participants, reviews records and surveys, and maintains databases. Performs routine data analysis and prepares reports, data visualizations, and models. Essential Functions
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liquid nitrogen and liquid helium sample environments and integrating electrical biasing setups in the microscope to study ferroelectric materials in situ. Data Acquisition and Analysis: Process and
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datasets such as the Luxembourg Parkinson’s Study and different prodromal cohorts for neurodegenerative diseases are ready for analysis. The doctoral researcher will: Conduct research that will compose a PhD
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of exercise physiology, athletics, rehabilitation, and injury prevention. The candidate will lead and continue to develop the laboratories biomarker analysis capabilities and should have familiarity with a wide
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Genetics, Neuroscience, Molecular Biology, or Related Discipline. Skilled in conventional molecular methods such as quantitative methods for qualitative and quantitative analysis of gene expression (qPCR
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
of New Hampshire invites applications for a non-tenure-track Assistant Research Professor position in Sustainable Engineering. We seek applicants with a strong background in systems analysis and simulation
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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will