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/124 Research Project: SMART-CM, Simulation and Advanced Modelling of Thromboembolic Risk The successful candidate will work within the framework of the SMART-CM project, as part of a research training
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Your position We are seeking a highly motivated PhD student to join our interdisciplinary research team. You will have the opportunity to apply cutting-edge quantitative methods and modeling
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Hospital Basel (UKBB), and the Swiss Tropical and Public Health Institute (Swiss TPH). A strong interest in applying mathematical modelling to biological questions and excellent teamwork and communication
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simulation model that accommodates management interventions and different environmental scenarios. Position supervised by Dr. Matt Falcy of the USGS, Idaho Cooperative Fish and Wildlife Research Unit at the
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and image analysis within the project, responsible for designing and iterating on machine learning architectures, managing training pipelines and datasets, and optimizing models for deployment across
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modelling in addressing these challenges (e.g. Raoux et al. 2017; Noguès et al. 2023). The initial study focused on the Seine Bay area, extending northwards to the boundary of French waters, and concentrated
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quantify model uncertainties For further information visit our website http://www.fz-juelich.de/ibg/ibg-3/EN/Home/home_node.html or contact us via the contact form. Your Profile: Master’s degree in
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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a highly motivated Postdoctoral