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academic at the Faculty of Arts You may be a great fit if: You are a passionate researcher with a PhD and a background in Social Studies of Technology, Anthropology, Human-Computer Interaction or related
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associated with pegmatite or carbonatite systems Work closely with academic and professional staff, researchers and industry partners, as well as contributing to supervision of PhD students About you PhD in
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associated with pegmatite or carbonatite systems Work closely with academic and professional staff, researchers and industry partners, as well as contributing to supervision of PhD students About you PhD in
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. You will also have: A PhD in Machine Learning (especially robust and adversarial machine learning), or closely related discipline A record of quality research as evidenced by publications in leading
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to epidemiology, biostatistics and modelling including machine learning methods A sound understanding of clinical trials in mental health, including developing, evaluating or translating novel interventions. A
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for research leadership. Conceptualisation and completion of data analyses with skills related to epidemiology, biostatistics and modelling including machine learning methods A sound understanding of clinical
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demonstrated aptitude to engage collaboratively with industry partners and other external stakeholders. Knowledge of optimisation solvers and proficiency in machine learning algorithms and their practical
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research priorities. You will also have: A PhD in Machine Learning (especially robust and adversarial machine learning), or closely related discipline A record of quality research as evidenced by
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skilled researcher who brings: A PhD in Computational Neuroscience, Physics, Engineering, Computer Science, Psychology, or a related discipline Strong quantitative and programming skills (preferably MATLAB
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supervise students and research staff We’re looking for candidates with: A PhD in Immunology or a related field Experience in cellular immunology, virology, or molecular biology techniques (e.g., mouse models