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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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group is unique in the Netherlands with both scholars focusing on developing and applying state-of-the-art methodologies from the fields of statistics, economics, and machine learning, as well as scholars
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require dedicated statistical expertise in the research team and raise ethical questions about informed consent. Together with researchers from the Oncode Accelerator project, we will study how adaptive
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will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics. Where to apply Website https://www.academictransfer.com/en/jobs/362722/phd-position
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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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recruiting participants to the design and implementation of a new two-wave cross-national survey); You will use advanced statistical methods to process and analyze data; You will write international peer
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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