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Field
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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meetings. Ability to work independently on own initiative and to strict deadlines. Excellent interpersonal and communication skills. Demonstrable ability to work with software packages and code used in agent
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analysis) and tumour cell injection (Desirable) Experience of using bioinformatics software and methodologies to analyze multi-omic and therapeutic datasets (e.g. R statistical environment) (Desirable
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set-ups to conduct experiments on magneto-active (viscoelastic) polymers and will work on the integration of the associated software for the Solids Mechanics side of the project under the guidance
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-analysis software; managing procurement and technical liaison with campus workshops; planning and analysing imaging experiments with collaborators; supervising and mentoring junior researchers; and
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pipelines will include structural imaging, multi-shell diffusion, susceptibility weighted imaging and functional MRI. These analyses will make use of publicly available tools, and may also require software
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pipelines will include structural imaging, multi-shell diffusion, susceptibility weighted imaging and functional MRI. These analyses will make use of publicly available tools, and may also require software
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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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founding a clinical feasibility study at the Royal London Hospital. Background The post holder should hold relevant PhD in Signal Processing, Software Engineering, Electronics Engineering, Biomedical
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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