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Science (IMS) at the University of Cambridge (https://www.mrl.ims.cam.ac.uk ). This position offers an outstanding opportunity to work within Dr. Maria Chondronikola's group, embedded in a highly
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to convert CO2 into valuable bioproducts, advancing sustainable bioeconomy. It heralds a paradigm shift on sustainable production of chemical compounds, food and materials to displace fossil fuels
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mentoring junior researchers and collaborate with faculty, DPhil students, and postdocs across engineering, computer science, government, and law disciplines. The role is full time 2 years fixed term
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clinical and non‑clinical populations, led by Dr Hélio Clemente José Cuve . You will be involved in the day‑to‑day implementation of research activities such as participant recruitment, experiment coding
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well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role We are seeking to fill a position of Postdoctoral Research Associate, working in close
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follow up and recruitment of the children, at age 1 to 4 years, scheduling and conducting screening and study assessments, performing ultrasound imaging, and managing data entry and quality control. As the
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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, experiment coding, data collection, developing data-driven processing and analysis pipelines, and write-up of findings for publication. You will also be involved in supporting the supervision and training
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone