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engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop
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analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical models to quantify phenological responses. Collaborate with internal
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background in molecular medicine or immunology. Experience with flow cytometry and animal models is a prerequisite, while basic understanding of extracellular vesicles will be an advantage. Research
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the fundamental understanding of molecular thermodynamics, and realize the importance of different types of properties in selecting the most physically sound thermodynamic model for water and electrolytes
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simulate wind and solar forecast uncertainties on pan-European level, leveraging latest machine learning weather forecast models Apply machine learning methods to forecast day-ahead and balancing market
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the context of an advanced electric actuator. The candidate will evaluate existing research and commercial solutions, propose new methods, and potentially develop domain-specific models and toolkits to address