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and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will
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Materials research group, which focuses on sustainable polymer chemistry. You will also become part of the interdisciplinary Institute for Complex Molecular Systems, which connects TU/e researchers working
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to build and characterise these DNA devices. The project will also explore optimisation methods to improve reliability, scalability, and performance in complex nucleic-acid-based systems. The student will
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capillary pressure and hysteresis in multiphase flow, and the complex phase behavior of multicomponent mixtures described by realistic equations of state. Achieving this goal requires an integrated approach
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agricultural economics who can translate complex policy challenges into rigorous research programmes, lead multidisciplinary teams, and communicate findings clearly to decision-makers. You bring deep knowledge
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and research, in and outside academia. The Software Engineering group conducts research in a wide range of topics related to design, development, verification, and operation of complex software systems
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outside academia. The Software Engineering group conducts research in a wide range of topics related to design, development, verification, and operation of complex software systems, including emerging
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Development of reproducible software tools and computational workflows for biomedical research Develop novel AI, machine learning, and deep learning methods to address complex biomedical questions in diabetes
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will develop new methods for causal inference in complex longitudinal survival data, with applications to nationwide Danish health registries. The project focuses on dynamic and asynchronously initiated
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nanoscience. It merges design and chemical synthesis of complex bio-molecules with biophysical chemistry and medicinal chemistry. The group consists of about 10 members. The group is a part of Department of