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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 18 days ago
was installed at IT4Innovations in 2025. For more details, see www.it4i.eu . Activity description: · modelling and optimization of electrical networks using open source tools (preferably Julia or Python
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, policymakers, and communities. We often focus on California, one of the world?s largest economies, to support a model of environmental leadership that is relevant globally. Our approach is collaborative. We
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medical professionals in delivering improved care for people affected by prostate cancer (PCa) or kidney cancer (KC). This position will focus on modeling AI trustworthiness and explainability in medical
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relational database environments Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses) Apply machine learning approaches for predictive modeling
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modeling approaches to climate policy. The appointment is for one year, with the possibility of renewal for a second year based on performance, funding, and mutual agreement. What You'll Do The Postdoctoral
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animal models, advancing next-generation in vitro and in silico New Approach Methodologies for complex brain disorders. We will host the successful candidate at the Department of Forensic and
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practical skills in human-centered design, venture creation, prototyping, business modeling, and technology commercialization. The major accountabilty is to: Serve as the primary instructor for the university
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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of the theoretical aspects supporting both the design of the experimental tests and the interpretation of the results, with particular attention to the modeling of the physical phenomena involved, the correlation