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deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
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point to sites of potential malformation (even before they form). The RA on this project would be required to develop and train novel AI algorithms for extracting surface models of the fetal cortex and
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bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms Downloading a copy of our Job Description Full
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-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent
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around their schedules. We are a dynamic team with ambitious growth targets in a priority area of development for King’s. We proudly foster a supportive culture and community which prioritises both
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range of educational programmes. Our learners study with us from across the world, choosing when and where they study, working around their schedules. We are a dynamic team with ambitious growth targets
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around their schedules. We are a dynamic team with ambitious growth targets in a priority area of development for King’s: online distance education. We proudly foster a supportive culture and community
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require in-person work at least four days per week, but this will be up to five days per week during busy testing periods. Interviews are scheduled to take place in August 2025. The successful applicant
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in the production and/or QC of radiopharmaceuticals in accordance with GMP requirements to set production schedules. Duties include the development of new tracers by performing practical validation
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assets for safe use, managing the inventory, scheduling, risk assessments and standard operating procedures for all activities. 8. Develop training materials and provide training and supervision