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to existing postgraduate students. Applicants must hold an offer of study at The University of Manchester before applying for this funding. RADMA's support is focused on the field of ‘R&D management' and we
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R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches Familiarity with large-scale survey data, conflict and
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crosslinking agents. This initiative combines the expertise of a leading global battery R&D organisation and a specialist in polymer chemistry to develop GPEs with superior ionic conductivity and interfacial
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showing the marks of all subjects studied. Specific Requirements Familiarity with statistical programming languages (e.g., R / RStudio and/or Python) and statistical methods will be valued. Familiarity in
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and digital signal processing, experience with acoustic measurements and the joy of mastering measurement equipment and procedures, basic programming skills (python, Matlab, R or similar) with
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and functional protein annotation (sequence homology- or protein structure-based) Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure Proficiency in Python, R
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, preferably using R or related tools Good written and oral communication skills in English, and knowledge of a Scandinavian language will be an advantage In addition, the following experiences and skills will
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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mechanics, geosciences, physics, mechanical engineering or related disciplines #programming skills in one or more languages (Matlab, Python, R, C, Fortran) #excellent knowledge of English (written and spoken
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knowledge of the use of command line and programming (bash and R), -Strong skills in statistical analysis, -Good ability to work in a team, -Good command of English (reading, writing, speaking), -Good