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of experimental data. You will work in the field of process metallurgy, with activities linked to an international research and development project carried out in close collaboration with industrial partners
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and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the
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of fluid or kinetic plasma simulation codes Axion or dark photon phenomenology Astrophysical observation and data analysis Analytic plasma theory Compact object astrophysics Laboratory astrophysics
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. Requirements for employment are a completed PhD degree in a relevant field (computational linguistics, computer science, cognitive science, or similar), near native-level of spoken and written English, and
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2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https
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. Knowledge and understanding of modern molecular biology, immunology and biochemical techniques including ChIP-sequencing and other multi-omics techniques is a plus. Strong analytical and computer skills are
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(not all are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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origin of pituitary gonadotrophs and its relevance to reproductive function in health and disease. About You The successful candidate will hold a PhD (or be near completion) in a biological or closely
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-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning, or evaluation Machine learning