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analysis. You have a strong quantitative background, including a solid understanding of statistics and data analysis; prior experience with multivariate or computational modelling methods is an advantage
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finance, with interest in farming systems. Animal or crop production systems, with proven interest in farm economics. Experience with quantitative methods, such as farm accounting, modelling, or statistical
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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine
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. An example is the extension to turbulence statistics, rather than just mean velocity profiles. You will join the Process & Energy (P&E) department at TU Delft’s Mechanical Engineering faculty, working in a lab
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. Apply advanced statistical and computational modelling techniques to analyze complex nested and already existing longitudinal datasets. Collaborate with clinical partners and interdisciplinary researchers
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
to independently perform statistical analyses on datasets using statistical software; Experience or demonstrated affinity with sensory studies/analyses is preferred; Experience with performing and/or designing
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
skills in biostatistics, including the ability to independently perform statistical analyses on datasets using statistical software; Experience or demonstrated affinity with sensory studies/analyses is
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Master’s degree in a relevant field such as the Natural Sciences (e.g., mathematics, physics, biology, statistics), Computer Science, Medical or Health Informatics, Econometrics, or Data Science (or a
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mathematical/statistical modelling and programming (e.g. Python, MATLAB, or similar). A research-oriented attitude and strong motivation to deliver ambitious, high-quality work. Ability to work in an
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motivation for academic research and curiosity about global talent and innovation systems; quantitative analytical skills, including experience with data analysis and statistics; experience with web scraping