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University invites applications for an adjunct faculty position in statistics/quantitative analysis. Pay Range Qualifications The successful candidate will have, at minimum, a Master’s degree (Ph.D. preferred
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collaboration with actors from energy research, you will apply methods to enhance data and software interoperability, enabling the automated reuse of energy system analysis workflows. Following FAIR and Linked
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focuses on the study of large-scale circulation in the Atlantic Ocean, combining oceanographic data analysis, satellite observations, and numerical modelling to better understand tropical–subtropical
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to clean and organize incoming JHHCC and CNICS data. Identify potential problems with study data and collaborate with data managers to resolve issues. Read concept sheets and draft statistical analysis plans
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by the PI and other lab members as needed, including tissue culture infections, sample collection, preparation and analysis. They will be responsible for general laboratory maintenance and organization
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The Bioinformatics Resource Center (BRC) provides bioinformatics analysis, experimental design consultation, software infrastructure, and training to the scientific community at The Rockefeller University. With a
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skills for behavioral and neural data analysis Additional Qualifications Demonstrated experience designing and executing behavioral or neurophysiology experiments, ideally in nonhuman primates Experience
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. Subsequent analysis of results requires GraphPad Prism, KinTek Explorer (kinetic analysis), Excel, and Statistics. Work in a multi-disciplinary environment collaborating with cell biologists and chemists
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internal controls and compliance frameworks. ? Overseeing housing rate development, policy analysis, and revenue optimization. ? Managing capital project financial planning and major maintenance cost
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stability analysis and control, machine learning, dimensionality reduction and high-performance computing. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR3346-NADMAA-159/Default.aspx