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. The knowledge gained using our “tumor ecology” paradigm will be translated into improvements in cancer prevention, diagnosis and therapy. Responsibilities Perform cell culture and tumorigenic assays with cancer
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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of imaging protocols (MRI, MRS, OPM-MEG). Candidates will benefit from a demonstrable experience in these fields. The core abilities and attributes required include resilience, creative problem-solving
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influence brain and heart health. Responsibilities will involve recruiting participants, screening participants for eligibility, scheduling participants, collecting physiological and brain imaging data (MRI
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techniques, most notably protein crystallography, cryo-electron microscopy, DNA sequencing and monoclonal antibodies. The LMB has a clear goal of understanding biological processes at the molecular level, with
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Medicine (SCMMS) and Biomedical Engineering and Imaging Sciences (BMEIS) at King’s College London (St Thomas’s Campus). The post will suit someone with a PhD in the cellular mechanisms of injury in small
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and offering training opportunities for specialist clinicians and clinical scientists. The LifeArc and MDUK-funded Translational Rare Disease Centre to Treat Mitochondrial Diseases (LAC-TreatMito-UK
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faculty member at the Associate Professor level from candidates with a Ph.D or equivalent degree specializing in biomedical engineering, electrical & computer engineering, neuroscience, or related fields
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. Hands-on experience of specialist biophysical methods, such as FRET, FLIM, AUC, SPR. F4. Hands-on experience of STED imaging and image processing. F5. Hands-on experience of cryo-ET sample preparation
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The Postdoctoral Research Fellow will contribute to a range of research and research translation activities as part of an Australia Economic Accelerator funded project developing a prototype using Large Language