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proteomics. Possess proficiency in R programming for statistical and bioinformatics applications. Have experience in scientific writing, including manuscript preparation, submission, and peer review processes
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Computational Science or Data Science Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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and energy research with world-leading industrial R&D&I projects. We address a wide array of experimental, computational, methodological and theoretical challenges, from fundamental physics research
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-leading industrial R&D&I projects. We address a wide array of experimental, computational, methodological and theoretical challenges, from fundamental physics research, through the development of new
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Olink proteomics. Possess proficiency in R programming for statistical and bioinformatics applications. Have experience in scientific writing, including manuscript preparation, submission, and peer review
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datasets in relevant areas such as cardiovascular epidemiology, genetic epidemiology, or cardiac imaging. Expert user of a least one widely used statistical software (e.g. SAS, Stata, R). Proficient in
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English, including a track record of academic writing Relevant experience with data analysis and programming (e.g. python or R) and empirical data analysis (including statistics) Strong motivation and
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, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python
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, spectroscopic techniques (vibrational and X-ray spectroscopy), inorganic synthesis, and advanced data analysis (MATLAB, R or Python). Experience in thermodynamics and/or molecular modeling (e.g., molecular
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statistical analysis using STATA or R. The evaluation will take personal qualities, such as willingness to collaborate, academic independence,and communication skills, into consideration. Terms and conditions