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Field
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clinical implementation. The candidate will hold a PhD in computer science, biomedical engineering, applied mathematics, or a related discipline, and should demonstrate a strong record of methodological
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learning algorithms focused on image data, natural language processing, and tabular data Conduct exploratory data analysis and feature engineering for high-dimensional datasets, including image, text, and
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with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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substantial, dedicated expertise in imaging technology innovation, artificial intelligence, and health services research. Our ambition, as a department, is to be a leading radiology department that: Delivers
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Processes ME 417 Thermodynamics II ME 418 Mechanical Engineering Laboratory III (Laboratory Demonstrators): Lab C1 – Electromechanical Control Lab C2 – Hydraulic Position Control Lab C3 – Digital PID Control
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Sciences and Clinical Sciences (including Medicine), Mathematical and Physical Sciences, and Engineering Sciences. UCL is among the world’s top universities, as reflected in performance in a range of
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biological assays and data analysis. Tissue Collection and Processing: Handle tasks related to tissue collection, processing, preservation, sectioning, immunostaining/IHC, and imaging. Lab Management: Maintain
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relevant radionuclides to image, and treat cancer and other diseases, b) the design of novel chelators and nanocarriers to attach and retain radionuclides for targeted delivery to cancer cells, c
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Applications are invited for a fully funded PhD studentship in the area of autonomous systems (in particular, automated aircraft inspections using ground platforms) within the Faculty of Engineering
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deadlines. • Ability to work independently, and to be an accomplished team player. Preferred Qualifications • MS or PhD in chemistry, physics, materials science, engineering, or a related physical science or