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Computer vision (3D, detection, classification, segmentation, object tracking). Autonomy, creativity, and interest in real-world AI applications. Interest in agriculture or agri-food. What We Offer
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research and soft robotics development. PhD project The PhD project will focus on the technical aspects of simulating the physics of the Drosophila larva body. The primary objectives include: Developing a
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novel multi-objective optimisation algorithms, to evaluate metrics such as material circularity, system efficiency, cost, and carbon footprint. The University of Surrey is ranked 12th in the UK in
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will be grounded in rigorous mathematics coupled with a sound understanding of the underlying earthworm ecology. Bayesian inference methodologies will be developed to estimate where and when behavioural
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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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creative – You bring substantial knowledge of statistical (e.g. Bayesian) methods, strong analytical skills, and creativity. Programming skills – You are proficient in Python and/or Matlab. Research
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biomarkers of treatment success in the broader context of respiratory allergy.Key objectives include:• Evaluating allergic sensitization patterns in soldiers prior to deployment using an extended panel
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are suitable. The aims of this project are to Review operating characteristics proposed for rare disease trials Develop novel Bayesian operating characteristics for different types of rare disease trials Apply
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
variety of specialized courses are also taught for graduate students. The educational objective of the department is to provide a sound basic foundation upon which medical and dental students may build