100 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" positions at Imperial College London
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) under the supervision of Dr Elina Spyrou . Summary of Project: Power systems are central to the transition towards net-zero energy systems, and they are transforming in two ways. First, their generation
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worldwide, and with the rise of antimicrobial resistance (AMR), the need for new preventive strategies is urgent. As a Fleming Initiative Clinical Research Fellow in Dr Dinesh Aggarwal’s group, you will be
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group of Dr Andrew Edwards at Imperial College London. This role will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and
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team in the group of Dr Andrew Edwards at Imperial College London. This role will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence
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subspecialty? This is an exciting role based in the occupational lung disease service at Royal Brompton Hospital. You will help set up the UK Silicosis Registry You will be responsible for clinical data entry
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computational tools and models (Python-based) for protein sequence and structure prediction, design, and optimisation. Integrate computational predictions with experimental validation to create data-driven
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culture with various staff networks and resources to support your personal and professional wellbeing. Further information This position is full-time and fixed-term for 12 months (with the possibility of a
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supervisors Dr. Andrew Scott (imaging physics), National Heart and Lung Institute/RBH and Professor Denis Doorly (computational modelling), Aeronautics, Imperial. The research will develop our computational
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for hardware control and data visualization. • Experience in working in wet-lab environment and/or dealing with food samples • Industry experience in product development and/or in vitro diagnostics is highly
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’ awarded to Dr Barry (PI). In this role, you will lead the identification and characterisation of active hydrolytic enzymes in colorectal cancer samples using cutting-edge proteomics and activity-based