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stories and people on LinkedIn . Your next career opportunity As an R software developer for the mixOmics toolkit, you'll play a crucial role in maintaining and expanding this widely used R package
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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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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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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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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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data integration. Knowledge of python and R is essential. This is a full time (35 hours per week), and you will be offered a fixed term contract until 30 June 2027. About You To be successful in
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degree, ideally a doctoral degree, in a relevant topic. The post requires strong quantitative skills with expertise in a common statistical package such as Stata/R and the ability to work with large
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R or Stata, are essential. Further particulars are included in the job description. The post is full-time, 1.0 FTE and fixed-term until 30 June 2029. The post is funded by the Economic and Social
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technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques
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, Management Science or closely related field. Experience of designing and performing data analyses. Excellent programming skills in Python or R. Excellent written and verbal communication skills. Demonstrated