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applicants for a 6-month paternity leave replacement who have a strong interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental
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observations with experimental studies, bridging molecular-level interactions at environmental interfaces with complex, large-scale environmental dynamics through quantitative modeling. EDGE actively addresses
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experience in statistical modeling High interest in working in an interdisciplinary research field Experience in academic writing and with research methods First experiences in presenting research ideas
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background have an interest in acquiring methodological skills in areas such as formal (mathematical) modelling and/or (quantitative) empirical testing (conducting experimental research and/or large-scale
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models for open science. It will lay the groundwork for novel approaches to documenting data as a process to cater to the diversity of inter- and cross-disciplinary data needs. The successful candidate
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—understanding and modelling excellent donor and/or client experience Basic financial management, bookkeeping, and accounting tasks to ensure the accurately tracking of fundraising progress A track record of
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methods will be used to close the complexity gap. Applicants will have outstanding achievements or show promise in any area of theoretical solid-state physics, including but not limited to modeling
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, structural equation modelling, visualisation, preferably in R Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental
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, transparent salary according to the collective agreement Model 2: The contract term upon employment is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years
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profile in applied or computational PDEs, who apply their expertise to address contemporary societal challenges. Areas of application may include, but are not limited to, climate modeling, ecology and