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from the Netherlands (e.g. SOVON, CBS Statistics Netherlands, Netherlands Institute of Ecology NIOO-KNAW, University of Tilburg, Naturalis Biodiversity Centre) and abroad (Forest Science and Technology
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, and has proven experience with managing running field experiments, statistical data analyses, and scientific writing. Knowledge of the study system (salt marshes) is beneficial. Good proficiency
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immortal time bias) and optimization of related epidemiological analyses. Performing statistical analyses of patient-related factors, including germline DNA variation, in relation to bladder cancer outcome
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languages and statistical software such as Python, R, Stata or SAS; Knowledge of quantitative modeling of financial markets, econometric techniques, machine learning, or quantitative empirical research
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probabilities Robust stochastic processes Tractable models and decision-making Online/continual learning with evolving data Requirements Specific Requirements Master's degree in Mathematics, Statistics
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weather statistics. During your PhD research, you will explore concepts from complex systems theory and data-driven approaches to multiscale systems to unravel the mesoscale cloud patterns that keep us from
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. Familiarity with the latest techniques in the biology. Background in statistics and data analysis. Programming experience in Python, Matlab, R or similar is ideal. A Track record of publications in peer
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strong background and interest in conservation. The ideal candidate is able to work independently, and has proven experience with managing running field experiments, statistical data analyses, and
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, and with a strong background and interest in conservation. The ideal candidate is able to work independently, and has proven experience with managing running field experiments, statistical data analyses
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/continual learning with evolving data Job requirements Master’s degree in Mathematics, Statistics, Computer Science, or a related field Excellent analytical and mathematical skills Affinity with developing