678 software-engineering-model-driven-engineering-phd-position Postdoctoral positions in United Kingdom
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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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with cross-sectoral, collaborative outputs and interventions which inform law, policy, technology development and practice to reduce online harms suffered by women and girls; minimise anti-social
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evaluate place-based mental health initiatives. You are expected to commit 0.2 FTE of your time to teaching within the faculty of Social Science and Public Policy. This will be agreed upon with your line
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The role We are seeking a highly motivated Research Associate to work on a Wellcome Trust–funded project using bio‑behavioural and data‑driven approaches to investigate emotion signalling
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area on our Why Join Us? - Information Page The Role and Department The successful candidate for this Research Associate position will join the Department of Engineering at Durham University. This is a
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, and what intervention has the prospect of get them to a better position. A model is needed into which to feed critical information and retrieve cause/effect insights on which to base logical decisions
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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—an ambitious, EPSRC-funded initiative led by Dr. Sina Sareh, Academic Leader in Robotics. We are looking for a highly skilled researcher with expertise in robotics, AI, software engineering, or computer science
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independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, statistics, physics, engineering, data science or a related discipline, and have
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development of open-source tools for the hearing healthcare community. About you You should have a PhD in computer science, biomedical engineering, or a related field with strong expertise in medical image