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Field
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. Interdisciplinary focus This PhD project will take a critical ecological approach to assess how conservation decision making influences social outcomes. Supported by supervisors specialising in statistical ecology
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migrants in Wales, without Welsh or English as a first language. The research will incorporate a mixed-methods approach. This may include a quantitative approach (i.e. statistical data analysis) and a
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form the basis of a thesis leading to a PhD degree (Dr) at the University of Groningen. The position comes with a light teaching duty. The candidate will become a member of the Probability and Statistics
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experience in forest inventory metrics, and statistical analysis, including predictive modeling techniques. Ability to conduct fieldwork in forested environments, including operating handheld equipment
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offered through the KNAW and partners (such as research schools), involving statistical analysis, data interpretation, creative thinking, ecological conceptualization, scientific writing, and career
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duty. The candidate will become a member of the Probability and Statistics Group of the Mathematics Department and will work under the supervision of Serte Donderwinkel. Organisation Founded in 1614
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neuropsychological assessments; Experience with data handling, statistics and epidemiology is considered a pro; Good communicative skills; Clinical experience is considered a pro. Additional Information Benefits A
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analytical chemical measurements; knowledge on blue carbon ecosystems. Other desired, but not required, skills: working with programming software such as Matlab, R or Python; general background in statistical
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/Qualifications Economy , geography, numerical calculation, statistics, heat transfers. Master Applied Economics , Master Info or Master Risks Internal Application form(s) needed ECOFIREPhD.pdf English (139.14 KB
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activity (with a choice of either EEG or the newly developed OPM-MEG technique). In addition, you will be trained to statistically analyse your data with “off the shelf” (e.g. SPSS) and customisable software