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existing machine learning methods, as well as building robust, well-documented, and reproducible analytics pipelines for long-term use by the wider team. You will carry out data analysis and manage
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by underrepresented groups Develop communication and education materials for local communities Apply/design appropriate analytical techniques to generate impactful insights. Formulate tailored
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of analytical philosophy Experience in research management and in leading project staff Experience abroad Willingness to acquire German language skills within 3 years that are sufficient for teaching in
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering
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for generative or analytical purposes (e.g., generative adversarial networks, convolutional neural networks, diffusion models, or other emerging methods), with evidence of application in research or professional
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supply chain analytics. You will produce high-quality research, collaborate with academic and industry partners, and help deliver impactful outcomes with commercial potential. Key Responsibilities Conduct
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently
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using public and proprietary data as well as sensitivity analysis of analytical modelling results against known outcomes. The developed models will then be applied to examine the impacts of various
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applicants will work as part of an analytic team, including Prof Murphy (KCL), Dr Charlotte Pretzsch (KCL), and Prof Christine Ecker (Frankfurt). Beyond this core analysis team, the candidates will have the