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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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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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microscope based on this photoacoustics concept. Working as part of a small team of researchers, you get to design and develop the imaging system, and combine it with the ultrafast photoacoustics system
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do so, driven by curiosity and supported by outstanding infrastructure. Visit us on LinkedIn and discover how you can become part of our community. You will be based in the division