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. The project explores how entangled social, political and environmental processes shape change. We are especially interested in the non-linear processes of change which are not factored into existing models
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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant
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-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The ideal candidate has prior
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who do not have English as a native language, must document language skills as documented by: TOEFL – with a minimum result of 550 on the Paper-based Test (PBT), or 80 on the Internet-Based Test (iBT
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: TOEFL – with a minimum result of 550 on the Paper-based Test (PBT), or 80 on the Internet-Based Test (iBT) OR IELTS – International English Language Testing Service, with the result 6.0. How to apply
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of the EU/EEA-area and who do not have English as a native language, must document language skills as documented by: TOEFL – with a minimum result of 550 on the Paper-based Test (PBT), or 80 on the Internet
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language, must document language skills as documented by: TOEFL – with a minimum result of 550 on the Paper-based Test (PBT), or 80 on the Internet-Based Test (iBT) OR IELTS – International English Language
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should not exceed one page Desired qualifications: Good knowledge in programming language theory, algorithms, distributed systems and logic Experience with language-based techniques for information-flow
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responsibility of the department’s board and will be based on an evaluation of the overall qualifications of the shortlisted candidates and the department’s needs. We offer Exciting and meaningful tasks in
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The position is fully funded and based at NHM’s interdisciplinary and highly international research group Evolution, eDNA, Genomics and Ethnobotany (EDGE) . Opportunities for networking across evolutionary