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to use your mathematical skills to model and design optical systems for sustainable high-tech devices for billions of people? Do you like to develop and analyze numerical methods for partial differential
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techniques, such as neural motion models and physics-based simulation, enable the creation of lifelike animations with reduced manual intervention, benefiting industries like gaming, film, and virtual
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unified and assumption-aware perspective on evaluation, emphasizing robustness analysis, sensitivity to modeling choices, and complementary empirical tests as essential components of trustworthy
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in the μ-opioid receptor. The PhD candidate will: • generate high-resolution models of wild-type and R181C mutant μ-opioid receptor based on existing crystallographic data and perform molecular
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candidate to develop Machine Learning models and frameworks for time series analysis, aimed at understanding how the human brain encodes information. This cross-disciplinary project is a high-level
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recognised for its work in digital pathology, where AI is used to develop new models for improved cancer diagnosis, prognosis, and personalised treatment. It is a multidisciplinary environment with
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plague outbreaks in Eurasia between 1300 and 1900 CE. A short description of the project can be found here: https://www.synergy-plague.org/research/introduction/. The project is funded through the European
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in statistical modelling is an advantage. The project involves close interdisciplinary collaboration between statisticians and NLP researchers at Integreat. The position is also affiliated with
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. Research tasks: We are looking for enthusiast candidates who can strengthen the department’s research capacity in the field of spatial analytics and geospatial modelling. Thematically, the research should
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sessions with healthcare professionals and patients to develop personalized care models. Collaborating with international expert teams, including Rigshospitalet in Copenhagen. Participating in two