510 machine-learning-and-image-processing-"RMIT-University" Postdoctoral positions in United Kingdom
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the following areas: Root biology, cell/developmental biology, confocal or light-sheet imaging and molecular biology such as techniques involving protein-protein interactions. A track record of publishing
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self
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, with experience of microbiology and scientific imaging, to conduct research into bacterial circadian rhythms. This will contribute to the ERC-funded programme “MicroClock” and an affiliated BBSRC project
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the following areas: Root biology, cell/developmental biology, confocal or light-sheet imaging and molecular biology such as techniques involving protein-protein interactions. A track record of publishing
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defence and security, working directly with industry and sometimes governmental or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self
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Theory and Machine Learning, can easily integrate into our team, independently contribute to current research, and work with responsibility for results. The research project is a collaboration between the
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pioneering solid-state CPL spectrometer (Nat. Commun., 2020, 11, 1676) triggered a paradigm shift in CPL spectroscopy that has been hindered over the last 50 years due to its stagnant design that prevented its
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computer programs to design experimental paradigms, analyse data and conduct advanced statistical analysis. Prior experience in running neuromodulation studies including TMS and TUS is essential. You will be
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inflammatory diseases and exploring immunotherapy to treat them. This exciting project involves characterising samples from a recently completed Phase II clinical trial for amyotrophic lateral sclerosis (ALS