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outlook and good communicative skills required to collaborate in a multidisciplinary team demonstrable experience with scientific programming, e.g. in Python, Julia or R proficiency in spoken and written
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regarded as a strong advantage. Familiarity with bioinformatics tools and programming in R or Python is not mandatory but would be considered a valuable asset. Additional Information Benefits Terms
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datasets, from i.e. semi-quantitative LC-MS/MS proteomics, therefore proven affinity with R is an asset. You will work here The research is embedded within the chair Toxicology (link internet page Chairgroup
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that you have to work with large datasets, from i.e. semi-quantitative LC-MS/MS proteomics, therefore proven affinity with R is an asset. You will work here The research is embedded within the chair
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resilient: you are comfortable handling complex data and working in a demanding environment. Experience with statistical software (preferably R. MATLAB, Python) Strong interest in cardiovascular physiology
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Experience in statistical analyses of ecological data Experience with programming in R or Python is an advantage Dependable, pro-active and self-motivated Flexible, adaptive and innovative We offer you
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empirical research, particularly experiments, and is comfortable with advanced statistical analyses (experience with R is recommended) possesses excellent academic writing skills in English is sociable, open
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software (preferably R. MATLAB, Python) Strong interest in cardiovascular physiology, hemodynamic monitoring, and imaging (ECG, CT, echocardiography). Affinity with critical care and working with vulnerable
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Master’s degree in bioinformatics, computational biology, computer science, or a related field. You have strong programming and data analysis skills, for example in Python, R, and Linux. You are passionate
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models. Experience (or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and