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, Kinesiology, Movement Science, Physiology, Biomedical Engineering or a related field. Additional Qualifications A strong background in statistics, as well as previous experience in human subjects studies with
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social care arena (eg: sociology; psychology; criminology; health statistics; health economics; data analytics, data science). Applicants should have experience of obtaining external funding for research
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Warwick Business School, The University of Warwick; | Warwick, England | United Kingdom | about 2 months ago
, expertise in AI, and interest in academic research. Applicants should hold (or be about to complete) a PhD or strong master’s degree in Computer Science, Business Analytics, FinTech, Statistics, or a related
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. Conducting descriptive and inferential statistical analyses. Contributing to publications in peer-reviewed scientific journals. Where will I be located? This opportunity is 100% remote. What is the anticipated
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statistical genetics, single-cell and single-nucleus multi-omics, and computational genomics to translate GWAS signals into biology. Our work spans method development, data generation (snRNA-seq, snATAC-seq
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statistics. UiT via Unsplash UiT We offer Involvement in an interesting research project Good career opportunities A good academic environment with dedicated colleagues Flexible working hours and a state
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 21 days ago
challenges inherent to biological products (such as vaccines, blood/transfusion medicine and gene therapies), including: limited clinical trial sample sizes that constrain traditional statistical inference
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training activities within the NeuroPathways project Contribute to work on user participation within the NeuroPathways project Perform statistical analyses, including advanced gene-environment interplay
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have opportunities to lead analysis and write up of original research articles, along with co-authorship opportunities for analyses led by mentees. Statistical expertise is necessary, as is familiarity
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Qualifications Strong written and oral communication skills Strong logistical coordination skills Training in advanced statistical techniques and computational methods Experience managing and analyzing large