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oral communication skills, and the ability to interact positively with external stakeholders. Experience with infrared or imaging and space instruments development, and/or vacuum and cryogenic systems
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applicant has experience in cardiovascular research and/or working with the zebrafish model. Experience of hPSC-derived in vitro models, 2D and/or 3D and experience in imaging, including use of confocal and
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-on experience in at least one of single-cell or spatial omics, imaging, or other high-dimensional biological data types. You interrogate existing literature critically, design rigorous experiments and deliver
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paradigm shift in our fundamental understanding of the charge-lattice interactions that govern such effects. This PDRA role will utilize several state-of-the-art spectroscopic techniques, such as transient
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management of group research computing infrastructures. About You You should be educated to degree level (preferably in biomedical/image analysis/medical research or an allied field) or have equivalent
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cancer biology, molecular biology, medicine, or neuroscience. Your expertise will include molecular biology techniques, advanced microscopy, quantitative image analysis, and primary tissue culture, all
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., scholars who have completed or will very soon complete their PhD), postdoctoral researchers (i.e., scholars who are currently in a postdoc position), and faculty who are already a tenure-track faculty member
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of cancer immunology, and familiarity with image analysis software. Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement
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day running of reception. You will be the first point of contact for people visiting the Science Park and it is essential that you are welcoming with a smart and professional image. You will perform a
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exciting recent technological advances, having its impact on fields as diverse as medical imaging, conversational agents, astronomy, and many more. The Oxford Applied and Theoretical Machine Learning (OATML