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. Possess experience of using Linux operating systems. You will bring: Fluency in programming languages such as Python, R, and C++. Strong analytical and problem-solving skills to identify and resolve issues
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statistical methodologies and experimental design and power analysis. Skilled in required programming languages such as R and Python. A commitment to best practices in data security, governance, and analysis
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collaborators. References 1 E. C. S. Slate, R. Barker, R. T. Euesden, M. R. Revels, and A. J. H. M. Meijer, MNRAS, 497, 5413–5420 (2020). View DetailsEmail EnquiryApply Online
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, Flexibility Demonstrate the ability to work effectively in a team Prior experience in mass spectrometry is advantageous, though not required Familiarity with proteomic sample preparation, R scripting, and
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assistance with applications for visa and work permit as needed. This and other services for foreign scholars is available from the CZU Welcome Centre (https:/ /www.czu.cz/en/r-9190-internation1-relations/r
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, management of large datasets, and use of statistical software (such as Stata, R or equivalent) Excellent written and oral communication skills. Able to produce high quality reports and academic papers
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track record of publishing impactful statistical research using large health datasets, and ideally experience securing research funding. You’re confident using R (or similar), thrive when working
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Knowledge of statistical programming (e.g., R, Python) Proficiency in data visualization tools (e.g., Qlik, Power BI, Tableau) Excellent communication and interpersonal skills – both written and verbal
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analysis methods for biological data (including but not limited to sequencing data). Experience of programming in a language relevant for Bioinformatics is essential (e.g. R, Python, C/C++ or Java) as are
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Scotland (NMIS) group of specialist R&D centres, supports manufacturing, engineering and associated tech businesses of all sizes, to thrive domestically and internationally through accelerating productivity