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health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation
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. Proficiency in handling large datasets in R or another coding environment as well as good botanical skills are important merits. We also place great importance on personal qualities, as the candidate will
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of adipose tissues and to identify secretory factors involved in conversion of white adipocytes to brown adipocytes Details of the R&D activities can be found at www.sklpb.hku.hk and www.antibody.hku.hk
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. Whilst full training will be given, previous experience with tissue culture, analysis of genomics data, bioinformatics approaches or previous use of relevant platforms such as R, are desirable
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. Strong quantitative skills, with experience in econometrics and statistical analysis. Experience working with large datasets and appropriate software (e.g., Stata, R, Python, Julia, MATLAB). Excellent
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drought as critical risk, few have prepared for it. This is due to a lack of understanding of the urban water balance under drought and the vulnerability of urban water use(r)s, especially with regards
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into commercial R&D, and participate in government and industry working groups. Impact and Career Development This project aligns with EPSRC and University strategic priorities in energy, decarbonisation, and AI
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collecting and systematizing a digital corpus of sources from Nordic countries; conducting a range of research tasks using R on this corpus; assist with organization of seminars and a workshop; and will have
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Research theme: Nuclear thermal-hydraulics How many positions: 1 How to apply:uom.link/pgr-apply-2425 This 3.5 year project is co-funded by EDF UK R&D and The University of Manchester. A full
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of the position. Equivalent research experience will also be considered. You should have familiarity in handling large and complex datasets and skilled in programming languages such as R or Python. The ideal