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or metabolomics. Experience using ‘R’ and high-performance computing preferred. Evidence of publications in reputed refereed journals and presenting at conferences. Evidence of contributions towards successfully
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-intensive field Proficiency in Python (or R), version control, and clean code practices Experience with omics data analysis and integration Hands-on expertise in developing and fitting executable models
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the link “Apply for this job”. The following documentation must be uploaded: official transcripts and diplomas master's thesis/major thesis certificates scientific work and R&D activities, as well as a list
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plan and conduct data processing and statistical analyses. Knowledge of statistics and programming (e.g., R) is therefore a requirement. The candidate is expected to compile research results, interpret
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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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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 2 months ago
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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SPSS, MPlus, R, etc.) and willingness to learn and master new statistical skills independently Others Highly organized and able to work effectively under pressure Able to work independently as
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communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is desirable Knowledge and interest in wine is desirable Applying: Expression of
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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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, 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