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provision of the department of Applied Mathematics, Computer Science and Statistics. PROFILE The Department of Applied Mathematics, Computer Science and Statistics is looking for a promising researcher who
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: Preference to work in an interdisciplinary environment Previous experience in programming in R, Python or similar. Previous experience in advanced statistics, e.g. generalized linear mixed models, and/or big
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YouTube 21 Learn more about this provider #-#Pending Expiry: SessionType: HTML iU5q-!O9@$Registers a unique ID to keep statistics of what videos from YouTube the user has seen. Expiry: SessionType
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research tasks include: Developing and optimizing UHPLC-HRMS methods Conducting metabolomics analyses on stool and saliva samples Processing metabolomics data using multivariate statistics and machine
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) in statistical analyses (using R, SAS, STATA). Interest and social skills to work in an interdisciplinary context with stakeholders from across Europe. How to apply Send your CV, copy of your diploma
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statistical skills. Experience with statistical software packages (R and/or Python) is desirable, or willingness to further develop these skills. Fluent command of scientific English, both orally and in writing
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. Definition of a statistically representative set of dwelling geometries Delghust et al. (2015) has proposed using parametric geometries to represent the variation of geometric features in dwellings without
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, Revio) is advantageous. Bioinformatics Skills: Proficiency in Python and R for data analysis, visualization, and statistical modeling. Experience with bioinformatics tools commonly used in genome research
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motivated to obtain your PhD. You possess good methodological and statistical skills, and are willing to develop those further. You have experience with SPSS or R. You have good scientific writing and
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: Preference to work in an interdisciplinary environment Previous experience in programming in R, Python or similar. Previous experience in advanced statistics, e.g. generalized linear mixed models, and/or big