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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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Learning or Machine Learning algorithms Experience applying quality system standards, software development standards and regulation, e.g. ISO 13485, IEC 62304, MDD, and MDR Experience working within a team
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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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managers will review your application, please take a look at our ‘How we Recruit’ pages. Interviews are scheduled for Monday 2nd June 2025.