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Vacancies Two PhD positions in the Department of Molecules and Materials on the Development of Degradable Polymers with In-situ Optical Sensing (Part of the GroenvermogenNL HyFINE initiative) Key
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of the chemicals in biological tissues without the use of labels. MSI can help us better understand and diagnose diseases such as, for example, cancer. Most MSI is performed using ultraviolet (UV) lasers and an
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integrating background knowledge and weak supervision, e.g. based on labels in downstream tasks, which can be for example logical constraints. As part of the project, you will ideally also perform a 6 month to
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. Account for reference data uncertainty (e.g. timing uncertainty and labelling errors) and incorporate it into performance metrics such as accuracy, timeliness, and detection delay. Design a spatiotemporal
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-cell and bulk transcriptomics, mutant screens and transformation approaches to identify signalling pathways and regulatory components. You will analyze data and integrate multi-modal datasets by applying
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equations (PDEs). The position is funded by the Dutch Research Council (NWO) via the Vidi research project Optimal adaptive space-time boundary and finite element methods. The project focuses on the design
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workflows; some experience with AI and machine learning methods to label texts (NLP) or data sources; strong programming skills (e.g., Python, RDF) and some skills in web-based data retrieval; good English
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research project Optimal adaptive space-time boundary and finite element methods. The project focuses on the design, numerical analysis, and implementation of novel numerical algorithms to efficiently solve
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how learning activities, assessment methods, and course design can reinforce each other and contribute to meaningful learning experiences. Part of your work will involve designing and testing new
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full-time 38-hour working week comes with a holiday leave entitlement of 232 hours per year. If you choose to work 40 hours, you have 96 extra holiday leave hours on an annual basis. For part-timers