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Review, 6: 247-272. • Lang, T., & Ramirez, R. (2024). How ghost scenarios haunt strategy execution. MIT Sloan Management Review, Winter. • Bhatti, Y., Ramirez, R., & Athanasopoulou, A. (2023
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Develop new statistical models to jointly analyze multi-species data from a broad range of data sources. Develop reproducible code (and potentially an R package) to apply this method to the data. Analyze
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, developed in association or cooperation with one or more R&D units, a requirement to be duly proven at the time of signing the contract. Note: In the case of masters who are enrolled in non-academic degree
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degree enrolled in a non-academic degree course integrated in the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, a requirement to
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must have excellent written and oral communication skills, strong quantitative/analytical research skills, experience using analytic programs for data management and analysis (e.g., STATA, SPSS, SAS, R
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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. Candidates with either Bayesian or traditional statistical backgrounds are encouraged to apply. Candidates should be able to programme in a high-level language for data analysis such as R, STAN or MatLab
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University and the Psychiatric Genomics Consortium. Your skills and attributes for success: Experience of analysing genomic data Experience of working with R Evidence of having contributed to published
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time position. For more information or an informal discussion please contact Prof Gareth Hathway (gareth.hathway@nottingham.ac.uk ). Closing Date: 08 Oct 2025 Category: Research and Teaching (R&T) Where
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if you have further informal questions about this role. Please note that applications sent directly to this email address will not be accepted. Closing Date: 01 Oct 2025 Category: Research and Teaching (R