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Field
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Patient-derived organoid culture and manipulation Flow cytometry or advanced immune-profiling platforms Single-cell or spatial omics Computational proficiency--familiarity with R/Python for analysis of bulk
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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-state physics, electrochemistry, Materials Science, or similar fields Strong analytical and conceptual abilities Ability to work independently or in a team in the realization of the R&D work Ability to
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, neutrino experiments, accelerator R&D and data intensive science via our Centre for Doctoral Training. About the role The UCL High Energy Physics Group has an immediate opening for an outstanding PhD
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quote reference: 442-25-R Closing date: 25 May 2025 Interview date: To be confirmed
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related field. Extensive experience with R and Python, and prior experience in computational biology are required. The candidate must have excellent written and verbal communication skills, the ability
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., ROS/ROS2) and embedded systems. Research publication track record Experience: Demonstrated R&D track record in designing, testing, and refining aerial or bio-inspired platforms. We regret to inform
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Substantial experience with Python Substantial experience with R The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be
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Epidemiology or related subject or a similar quantitative discipline. Programming skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python
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of opportunity, to being fai r and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce