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, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity binders that engage with therapeutic targets or efficient (bio
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model. A new set of catalysts can then be predicted and tested. Subsequently, the new data is fed back into the model to improve its prediction capabilities. Chiral bidentate ligands belong to the most
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statement of up to 1200 words, where initial ideas are presented for developing a research plan that fits the above description of the project. A writing sample of no more than 5.000 words, such as an essay
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that fits the above description of the project. A writing sample of no more than 5.000 words, such as an essay or part of a Master’s thesis. Certified official transcripts of your academic degrees
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arrangements are expected to meet. Lastly, this project must integrate theoretically and empirically driven research with normative considerations. Specifically, the project will examine where normative ideals
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how these meanings emerge in interaction, tested through meta-linguistic tasks (e.g., questionnaires), interpretation tasks (e.g., the matched guise technique, Lambert et al., 1960) and interaction
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excellent training through cutting-edge research projects, advanced courses and training opportunities, complemented by workshops on generic research, transferable skills and teaching. As a PhD candidate, you
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on this project, and therefore, collaborative work between the two successful candidates is expected. The candidate is also expected to contribute to teaching for the MSc course in ornithology of the University
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their daily practice. As part of this PhD, the candidate will: Conduct independent research and write a dissertation within four years. Participate in relevant PhD training courses offered by the Graduate
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scientific conferences. • Actively participate in and contribute to the Fertile Soils project. • Build and maintain contacts with internal and external partners. • Teach courses in the Faculty of Spatial