71 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" uni jobs at Imperial College London
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wellbeing. Further Information Further information about Imperial College London, the Department of Mathematics can be found at: https://www.imperial.ac.uk/mathematics If you have any queries about the post
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collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing. Please see our Further Particulars for more information about Imperial and the
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). The post-holder will be accountable to Professor Marc Gunter. For further information or to arrange an informal discussion, please contact Dr Eduardo Seleiro (e.seleiro@imperial.ac.uk). Attached documents
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the rise of antimicrobial resistance (AMR), the need for new preventive strategies is urgent. As a Fleming Initiative Clinical Research Nurse in Dr Dinesh Aggarwal’s group, you will play a hands-on role in a
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Dr Dinesh Aggarwal’s group, you will step directly into this global fight, driving the delivery of a pioneering controlled human infection study that aims to close the gaps in our knowledge
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with a multidisciplinary team, across assay design, small molecule screens and chemical biology and microbiology (Prof Ed Tate, Prof Gad Frankel), ‘omics technologies (Dr Matt Child), data science (Dr
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College London. For more information on the range of materials and methods explored by his group, please see Dr Salvador Eslava’s list of publications. • Take initiatives in the planning of your research
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courses provision. Interviews will be held w/c 23rd March. This is a full-time post (35 hours per week). This role is for a fixed-term contract for 24 months. If you require any further information about
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-harnessing capabilities. The successful candidate will work within the Elani Bioinspired Engineering Group under the supervision of Dr. Yuval Elani . The project aim is to engineer artificial cells that can
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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