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environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how molecular structure, charge, and surface
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expertise in a supportive and innovative environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
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, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research plan in heterogeneous integration-based activities regarding power semiconductor bonding, interconnect
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technologies and make a key contribution to the direction of research programmes in the Power Electronics, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research
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clinical trials within the unit. You will also be able explore a wide range of research skills including human volunteer and clinical stroke studies, data analysis including systematic review and meta
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forms of reproductive exploitation, violence, coercion and abuse are occurring in human trafficking contexts, and analysis of the sexual and reproductive health and rights (SRHR) needs and outcomes
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, and analysis of the sexual and reproductive health and rights (SRHR) needs and outcomes of survivors. Analysis will include consideration for how interlocking systems of oppression and intersecting
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will conduct research with farmers, vets and other stakeholders via focus groups, interviews and document analysis, which will involve some on-farm data collection. The candidate will also work