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techniques is essential. Experience in microscopy, immunohistochemistry and microscopy image analysis and appropriate publication records would be an advantage. A demonstrated ability to communicate well
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analyst to develop models to predict dental disease outcomes from structured and unstructured patient electronic medical and dental records to lead and proactively support the organisation to deliver
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transition: predicting and preventing negative outcomes (ART-transition) study, and the EU-funded project, ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART-CARMA
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5 Jun 2024 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Technology Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom
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transition: predicting and preventing negative outcomes (ART-transition) study, and the EU-funded project, ADHD Remote Technology study of cardiometabolic risk factors and medication adherence (ART-CARMA
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View All Vacancies Department of Earth Science Location Egham Salary £39,233 to £46,397 per annum - including London Allowance Post Type Full Time Closing Date 23.59 hours BST on Sunday 30 June 2024
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Job id: 090366. Salary: £ 43,205 - £44,347 per annum, including London Weighting Allowance. Posted: 31 May 2024. Closing date: 30 June 2024. Business unit: IoPPN. Department: Health Services & Population Research. Contact details:Craig Morgan. [email protected] Location: Denmark Hill...
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View All Vacancies CSS – Research Location: Hawkshead (nr Potters Bar, Herts) / Camden (Kings Cross, London) Salary: £38,721 to £49,521 Per Annum Including London Weighting Fixed Term / Full Time Closing Date: 23.59 hours BST on Wednesday 19 June 2024 Reference: CSS-0122-24 Post-doctoral...
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Job id: 090068. Salary: £43,205 - £44,347 per annum, including London Weighting Allowance. Posted: 24 May 2024. Closing date: 02 June 2024. Business unit: Faculty of Life Sciences & Medicine
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computing, AI, biomedical engineering or signal processing) or a higher degree (e.g. MSc) with substantial experience in multimodal machine learning with appropriate track record. Excellent programming skills