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including next-generation sequencing, bioinformatic analysis (R and/or python), mammalian cell culture. The post holder will be comfortable working both independently and in a collaborative environment. What
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such as R or Stata. Have the ability to work both independently and collaboratively to meet project deadlines For further information please refer to the attached PD. What we offer you! We offer
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very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent
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or a numerate discipline OR equivalent experience. Broad knowledge of probabilistic models, Bayesian inference and machine learning methods. Good knowledge of R, Python or both (links to project source
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SPSS, R, or advanced Excel to support research Able to develop, deliver and evaluate research training programmes in group or one-to-one settings to internal and external organisations ensuring
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imagingGood organisational skills and attention to detail Experience in data analytics, statistical analysis and in programming (such as MatLab, R, Python) Ability to write papers for high quality peer-reviewed
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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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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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Epidemiology or related subject or a similar quantitative discipline. Programming skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python
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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