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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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laboratory processing of root data Assist in ongoing field sampling campaigns Conduct basic data analysis Collaborate with PhD researchers from the modelling and experimental teams to link data and model
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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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30 days of vacation plus additional days off (e.g. between Christmas and New Year`s) FLEXIBILITY: Flexible working time models, including options close to full-time ( https://go.fzj.de/near-full-time
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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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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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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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engineering models for large-scale quantum computers. The aim is for this thesis to develop fundamental expertise in quantum physics and computing, and then share it with other teams in the Q-loop project, so
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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