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integration and disease gene prioritization. Contributing to the translation of genetic discoveries into biological insight and precision prevention strategies. Your tasks will include data analysis, method
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combine state-of-the-art machine learning and protein design methods with experimental structural biology and immunological characterization. Potential project directions include: • Design of vaccine
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, Chemical Engineering, Physics, Chemistry. Knowledge of dairy systems and/or relevant characterisation methods will be considered an advantage. Our group and research- and what do we offer? The group is a
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levels. A central component of your work will be the collection and analysis of qualitative empirical data. The empirical work will be based on in-depth case studies of firms operating within the Danish
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fibrillation. Your work will involve applying Mendelian randomization and other causal inference methods to uncover potential genetic pathways contributing to disparities in stroke risk. The project combines
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seek a PhD candidate to work on representation learning methods on graphs for modeling static and temporal networks, with applications to ecological systems and beyond. The project will focus
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to advance non-destructive, rapid, and highly sensitive hyperspectral methods for the detection, identification, and characterization of forensic traces, including fire debris, biological stains, fibres
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challenges and should employ appropriate qualitative and/or quantitative methods. The project should demonstrate clear potential to generate internationally recognised research, produce publications in leading
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goes wrong or is deliberately manipulated. Building lightweight, efficient models that can run in real time on constrained hardware. Implementing and evaluating the methods on embedded platforms and
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manipulated. Building lightweight, efficient models that can run in real time on constrained hardware. Implementing and evaluating the methods on embedded platforms and hardware prototypes, in collaboration