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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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relevant, in vivo. - Data Analysis and Dissemination (analysis and interpretation of experimental data, preparation of manuscripts, contribution to grant writing and progress reporting). - Collaboration with
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: https://www.brunel.ac.uk/about/our-history/home We are seeking a highly skilled and motivated Head of Financial Planning & Analysis to play a pivotal role in managing and optimizing the financial
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, Computer Science, Mathematics, Biomedical Sciences, or a closely related field Strong background in computational data analysis with a solid understanding of biological and biomedical concepts Expertise in machine
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, courses, and postgraduate studies. Eligibility criteria • completeness and formal correctness of the submitted documents • timeliness of notifications; • analysis of information contained in documents
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, macros). - Financial Modeling - Data Analysis & Visualization (Power BI) - ERP & Financial Systems (SAP S4Hana & Jedox) At least 5 years of experience in budgeting, forecasting, financial modelling, and
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investigations of the Martian atmosphere and surface using data from the Emirates Mars Mission (EMM) “Hope” probe. The position contributes to ongoing research, data analysis, simulation efforts, and dissemination
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studies, imaging techniques, biochemistry, gene expression analysis, experimental data analysis including multi-omics analyses, and the interpretation of statistical results. They will prepare integrated
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invite applications for the captioned post. Duties and Responsibilities Work with the Stroke Research and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis
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the laboratory: –Lefebvre A. et al. Neuroanatomical Diversity of Corpus Callosum and Brain Volume in Autism: Meta-analysis, Analysis of the Autism Brain Imaging Data Exchange Project, and Simulation. Biol