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Field
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, or the equivalent qualifications gained outside the UK. Experience in coding in both Python and R is essential.
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
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experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
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biochemistry are required Profound knowledge in bioinformatics, especially Python and/or R are required Experience from relevant research projects investigating cellular metabolism, and/or protein modifications
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Netherlands by providing society with independent knowledge, advice and warnings about risks in the field of weather, climate and seismology. Within its R&D department of weather and climate models
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analytical socio-technical skills, including statistical analyses Proven programming experience using Python, R, or others (We will not consider applications that do not showcase that) Having experience
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analysis and ecological data, preferably using R or related tools. Good written and oral communication skills in English, and, preferably in a Scandinavian language In addition one or more of the following
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analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing
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, including the development and use of 3D models and the study of extracellular vesicles Analyze high-throughput data sets using R or similar software Present research findings in meetings Document performed
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emerging to address the ‘broken system’ of antibiotic R&D. It focuses on the actors and stakeholders seeking to develop a radically altered antimicrobial innovation ecosystem by establishing alternative