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our team you will develop state of the art methods in structure based drug discovery. You will apply these approaches in real drug discovery projects, aimed at the identification of novel chemical
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polymer chemistry. The PhD student will participate in a project focused on engineering polymers for the delivery of nucleic acids, messenger (m)RNA in particular. The overall aim of the research is to
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for other types of interaction and collaboration within the project, for example with colleagues from the Department of Geoscience & Remote Sensing at Delft University of Technology (TU Delft), and the
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as an essential element of our lab. Working together allows not only to develop new knowledge, but also to use each other’s expertise, to experiment together, to learn from each other and to bring
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with the Natural Computing Group of LIACS at Leiden University and closely collaborate with hydrogen technology companies and other universities in the Netherlands. Key responsibilities Conduct original
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chemicals, struggles with urbanization and agriculture intensification, lacks climate change adaptation, and is often unaffordable for emerging urban areas. Existing research primarily focuses on domestic
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like engineering design, to provide an example. Subsequently, the project will focus on the development of robust and automatically customizable algorithms. This research is motivated by an undiscussed
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PhD Candidate on Problem-aware and Similarity-driven Optimization Algorithm Design, Sel. and Config.
of appropriate similarity measures and their application for algorithm selection and configuration, addressing crucial societal challenges currently faced in industry, in fields like engineering design, to provide
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, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The faculty has grown strongly in recent years and now has more than 1,300 staff and almost 4,000 students
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of interaction and collaboration within the project, for example with colleagues from the Department of Geoscience & Remote Sensing at Delft University of Technology (TU Delft), and the Faculty of Archaeology