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(MSCA-PF) to pursue a career in research. We invite applications from promising young researchers within the field of Computational Biology & Ecological Modeling. The selected candidate will write a
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analysis) to compare brain responses with predictions of computational models (deep neural networks developed by the NASCE team). The objectives include assessing how the brain segments, groups
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analytic methods including regression analysis, survival analysis, mixed effects models, multivariable analysis, causal inference methodology (e.g., g-methods), predictive modeling, and interprets results
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analytic methods including regression analysis, survival analysis, mixed effects models, multivariable analysis, causal inference methodology (e.g., g-methods), predictive modeling, and interprets results
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planned acts, such as targeted terrorist activities. This exciting project will focus on developing a mathematical model (and a supporting research software) to predict the key performance indicators of a
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methodologies. The focus is on across-organ imaging, ranging from non-human primate (NHP) models to human applications. You will contribute to the development and application of state-of-the-art MRI techniques
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prediction approach for pennycress and winter camelina improvement. Post-Doctoral Associates conduct research and/or services that provide further development of career skills or allow them opportunities
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bring new insights. Ability to creatively apply relevant research approaches, models, techniques and methods. Ability to assess and organise resource requirements and deploy effectively. Ability to build
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to generate baseline datasets for calibrating and validating predictive models of biodiversity-rich forests. Using machine learning (ML) algorithms, the Research Assistant will help predict the occurrence
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foundation models to run predictably and efficiently on embedded processors and accelerators. FIND is a research program funded by the Dutch government and industry that brings together 5 universities, 11