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of the ambitious Research and Knowledge Exchange (R&KE) sub-strategy within the University’s Strategy 2030 . GRI is structured to support all aspects of the project cycle from identifying relevant funding
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/teaching and learning research Excellent knowledge of quantitative and/or qualitative statistical analysis methods (experience in statistical programs such as SPSS, R, MAXQDA) Experience in research
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Managing the population dynamics of herbicide resistant weeds School of Biosciences PhD Research Project Self Funded Prof R Freckleton Application Deadline: Applications accepted all year round
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likely to become increasingly important when the new Total Body PET scanner is installed later this year. Comprising two GMP clean rooms, a QC laboratory, and an R&D laboratory with a total of 24 hot cells
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with other academics, advisers, R&D departments and administrators relevant to the study. Take a lead role in the analysis, interpretation and writing up of process evaluation data, underpinned by
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management techniques Experience of optimisation of applications such as R, Matlab, Nagios, SLURM, Open Stack, Cuda, Sigmaplot, Exceed, Graphpad, Cognos, Shiny Apps, Docker, experience of shell scripting
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risk scenarios in businesses, targeting applications across business insurance brokering, compliance, and risk management. What You Can Expect Impactful Work: Lead and deliver a strategic R&D project
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, especially the SOCRATES code, is highly desirable. Experience interpreting large model datasets or observational datasets using software such as Python, R or Matlab and experience running computer code on HPC
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activity determines lifespan. Stefanatos R, Robertson F, Castejon-Vega B, Yu Y, Uribe AH, Myers K, Kataura T, Korolchuk VI, Maddocks ODK, Martins LM, Sanz A. EMBO Rep. 2025 Apr;26(8):1957-1983 NLRP1
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technical tasks. Innovates and implements complex procedures effectively. Experienced in R&D, server, and telecom equipment handling. Skilled in maintaining electronics and assembling systems. Experienced in