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Field
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quantitative MEL (monitoring, evaluating and learning) methods. Proficiency in R is considered a plus, A proven ability to acquire, lead and deliver projects for private sector clients and maintain strong client
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to improve R&D efficiency, and the influence of investors and other external actors on entrepreneurial outcomes. Our research also examines decision-making under uncertainty, including the use of Bayesian
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researcher. You have experience with field and laboratory methods in soil or ecosystem ecology. Analytical thinker. You are familiar with statistical data analysis, ideally using R. Collaborative and
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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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skills in English (spoken and written). Preferred qualifications: Familiarity with tools/programs such as GIS, Illustrator, R or other spatial analytical or visualisation platforms. Basic knowledge
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. Python, Matlab, and/or R.\ Has interest (and ideally, research and coding experience) in functional MRI methods. Has a strong interest in visual neuroscience and affinity with healthcare applications. Has
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, preferably vegetation surveys, soil sampling, plant population monitoring, or ecosystem functioning measurements Good knowledge of the Dutch flora Experience with data analysis in R Strong organizational and
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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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marketing Experience conducting experimental research with human participants Statistical skills and command of standard software packages for analyzing experimental data (e.g., R, SPSS, SAS, Stata, JASP