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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
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of Aqueous Sub-attoliter Compartments, J. Am. Chem. Soc. 2023, 145, 36, 19633–19641. - Malle, M. G., Löffler, P. M. G., Bohr, S. S.-R., Sletfjerding, M. B., Risgaard, N. A., Jensen, S. B., Zhang, M., Hedegaard
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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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About the Role As our second CoSTAR Foresight Lab Research Fellow at Goldsmiths, you will play a key role in delivering the industry-leading applied R&D of the CoSTAR Foresight Lab, helping fulfil
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include R, Python, mySQL, MATLAB and JavaScript, or other GIScience. Preferred Qualifications: Experience in developing scientific data management tools/processes to manage large volumes of data originating
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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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-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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with other members of the research group, including mutual assistance with research activities, and with external partners (R&D and/or industrial). The successful candidate should have: PhD degree
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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 1 month 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