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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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, 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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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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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
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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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, and scripting in R Practical experience with laboratory animal experiments and/or with large-scale studies of animals in the field Assessment criteria and other qualifications This is a career
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pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings. Coordinate the collaboration between the chronobiology lab (led by Dr. Paul Petrus) and the
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the time at which the appointment decision is made. To be eligible for the position, you should have: Strong skills in programming and analytical tools, particularly R, including data visualization and