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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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applications from candidates who meet the following criteria: PhD (or about to complete) in relevant discipline e.g. Bio/Medical/Mechanical Engineering; a track record of developing validated computational
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translation of innovative miniature, hair-thin imaging devices we have previously developed (doi.org/10.1117/1.JBO.29.2.026002 ). These devices are designed to enable early and accurate detection of cancerous
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researcher position is affiliated with two EU projects (TRUSTING - and DELTA-LANG) that concern themselves with medical applications of speech technologies to prevent clinical worsening in patients with mental
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Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive
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Ref NumberB02-09130Professional ExpertiseResearch and Research SupportDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalary£43,374 £51,860Contract TypeFixed
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of further extension. If you need reasonable adjustments or a more accessible format to apply for this job online, or have any queries regarding the application process, please contact the Institute
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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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to generate tumor models, bioluminescence Imaging, and animal necropsy. Other wet-lab techniques or assays maybe involved depending on how the project progresses. PhD (or equivalent) in Biomedical Sciences
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interdisciplinary team will develop a machine learning based monitoring system that leverages spoken language processing (SLP) and natural language processing (NLP) of speech recorded at home to calculate relapse