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) matrix architecture are influenced by the mechanical and geometric properties of their environment. These computational models can provide crucial mechanistic insights into the key parameters governing
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microscopy) Flow cytometry Mammalian cell culture (cell models, including iPSC-derived cell lines) Lysosomal immunoprecipitation for multi-omics analysis Chemical synthesis Integration of biochemical, cellular
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materials, including porous dimension, building ingredients, wettability, etc., and their interactions with water and gas species include CO2, Hydrogen and methane. Using atomistic modeling, the study will
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employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research
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Deadline: 13 April 2026 Supervisors: Dr Nicholas Grant and Peter Anastasi Project description: Terahertz imaging has the potential to transform sensing, inspection, and medical diagnostics, yet current
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg
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focus on mechanisms of brain border immunology, including CSF and meninges Application of: Multi-dimensional flow cytometry Animal models Single-cell / single-nucleus transcriptomics Integration with
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models and iPS models, including genetic modification using CRISPR-Cas technology, imaging cells using confocal and superresolution microscopy, identifying biomarkers of studied diseases, and developing
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are currently Uppsala University’s third largest department, with 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department
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analysis utilizing methods rooted in artificial intelligence (i.e. machine learning and deep learning). The analysis will be the basis for developing a predictive model to help select the most optimal method