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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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programming with R. Practical experience in analytical methods including multiplex flow cytometry, as well as associated data analysis. Practical experience from working with functional assays including explant
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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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, 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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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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, 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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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
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programming in R, Python, and mathematics/statistics. The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours
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energy system modelling and mathematical optimisation. Knowledge in propulsion and aircraft technology, including performance and conceptual design. Experience in industrial R&D or in junior academic
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optimisation. Knowledge in propulsion and aircraft technology, including performance and conceptual design. Experience in industrial R&D or in junior academic research within related technical domains. Knowledge