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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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, providing a platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models
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will focus on modelling the genetics of gestational duration in pregnancy on-a-chip systems, expanding the 2d cell culture system to a mul-ti-cell type co-culture system that better recapitulates
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the integration of AI components transforms the nature of software systems (SE4AI). From an architectural perspective, the research investigates how the inclusion of AI elements—such as retrainable ML models, LLMs
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in
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need to be able to be a role model in that sense. You must be very organized and systematic in your work. As an experienced researcher you will be expected to co-supervise the work of younger scientists
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). The position will focus on using AI, particularly multimodal transformer-based deep learning models, to extract and leverage information from genomic and chemical structures. Applications include infectious
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advances focused microwave heating as a safe, quantifiable, and effective cancer treatment modality. Using a numerical model of our hyperthermia system, we are the first group worldwide to demonstrate
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complementary expertise in the use and development of low-cost sensors, hydrological and biogeochemical models, and stable isotopes. The consortium’s complementary expertise enables us to work at the catchment
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culture and in tissue models. In this project, you will infect human cells with HMPV and use cryogenic electron tomography (cryo-ET) with subtomogram averaging to solve the structure of HMPV virions. You