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as event occurrence patterns, mark behaviour, and interactions between events, to vary locally in space and evolve over time. The research will include model development, statistical inference and
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medical applications. Federated Bayesian learning offers a solution to those problems by allowing multiple participants to train machine learning models collaboratively, without sharing any data. Bayesian
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transformations. The project investigates a hybrid approach that combines deep learning with grammatical inference to develop models that are interpretable, efficient, and mathematically verifiable while leveraging
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science with a focus on bioinformatics. We offer an international, stimulating, and collaborative research environment where your scientific career development is promoted. The project aims to track strain
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). This project will employ cell models with a thick glycocalyx as well as molecularly defined molecularmodels of the glycocalyx. You will establish a pipeline for single-particle tracking of viruses in three
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and visualization in a Microbial Cell Atlas. This position aims to develop key software components to enable this mission. The results of this project will be used to track new pathogens, combat
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at the Faculty of Medicine are enrolled in the faculty-wide doctoral training programme. The programme comprises 25 credits and is offered in two study tracks: 25 credits across 8 semesters (4 years) or across 12
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into the city, and in winter the snow turns Umeå into a cosy, activity-filled place. Several Christmas markets appear around town, and ski tracks are only a 15 to 20 minute walk from the university. The seasons