868 postdoctoral-image-processing-in-computer-science-"U" Fellowship positions in United Kingdom
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opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
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clinical informatics Familiarity with statistical software packages, data management, and quantitative analysis techniques Excellent interpersonal and written and verbal communication skills applied across a
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, cultural practices and technologies between China and the Mediterranean or any sub-region between the two at any period up to the present day. This Research Fellowship is part of a broader programme, which
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equivalent) in a quantitative scientific field (e.g. climate science, meteorology, physics, maths, or computer science), be a nationally recognised authority in areas of climate or Earth system research, and
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small proteins Expertise in development and optimisation of in vitro and in vivo efficacy assays. Advanced knowledge of preclinical molecular imaging. Knowledge of glioblastoma biology. Experience in cell
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opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
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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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opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
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and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in Computer Science, Data Science, AI, or a related field
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translation of innovative miniature, hair-thin imaging devices we have previously developed [https://doi.org/10.1117/1.JBO.29.2.026002]. These devices are designed to enable early and accurate detection