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Requirements Research FieldGeosciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Fluency in R for statistical analysis. Experience with ecological fieldwork. Experience with stakeholder
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staff position within a Research Infrastructure? No Offer Description Ready to make a real difference? Are you interested in applying cutting-edge statistical and machine learning techniques to develop
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offers a PhD position for a self-motivated candidate with a strong scientific background in the fields of ecology, remote sensing, environmental sciences, data science, mathematics or statistics with
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offers a PhD position for a self-motivated candidate with a strong scientific background in the fields of ecology, remote sensing, environmental sciences, data science, mathematics or statistics with
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, statistical physics of soft-condensed-matter systems, and biophysics; presently having diverse research outlooks ranging from colloidal gelation, to tissue dynamics, to bacterial colony growth. As a PhD
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such as holidays, and time spent as part of a procedure for obtaining refugee status are not taken into account. Knowledge, Skills & Experience (desirable): fluency in R for statistical analysis; experience
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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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(e.g., fMRI, EEG, fNIRS); eagerness to embrace an open science approach (e.g., preregistration, data sharing, pre-prints); experience and/or affinity with coding, especially for statistical analyses (e.g
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theoretical insights into how migration background intersects with gender identity. Using quasi-experimental methods on administrative population data from Statistics Netherlands, the project aims to answer
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and experience in programming (i.e., Matlab, Python, or R); excellent knowledge of quantitative research and statistics and a high motivation to learn new methods; affinity with and good communication