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ethical, efficient, and predictive testing strategies for chemical risk assessment. The primary focus of this research is on developing models for thyroid hormone system disruption. We know from
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- specific predictive models, the lack of explainability in AI-driven decision processes, and the difficulty of capturing long-term dependencies in time-series data. In this project, you will focus
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activities will include (but not be limited to) understanding dynamic sea level changes, modeling vertical land movements, and quantifying gravitational changes caused by present and future changes in land
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on this project, you will: Design and Model : Develop novel concepts for integrating photonic systems (e.g., laser-based, integrated optic components) with advanced microwave scattering/diagnostic
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within this project will be to: closely collaborate with the DTU faculty members (Maria Montanucci and Peter Beelen) and the current PhD student of the team (Marie Frank vom Braucke) and the other Postdoc
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identification and population monitoring Contribute to automated approaches for tracking long-term population trends in wildlife Collaborate with colleagues on ongoing modelling and simulation work across the
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modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning
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Research Fund Denmark, led by Professor Tore Bjerregaard Stage, aiming to understand chemotherapy side effects using state-of-the-art cell-based models. About the research environment The research areas