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will use single-cell sequencing methods, bioinformatics, and genome editing approaches, as well as co-culture systems modeling neuron–glioma interactions, with the main focus on investigating the impact
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Viklund and will involve the study of one or more of the following areas: Coulomb gases and related areas, 2D random conformal geometry (SLE theory, lattice models, gaussian fields, etc), conformal field
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–time modelling in GIS and/or statistical software (e.g. R) to visualize and analyze the spread and control of diseases in colonial Africa. The fellows will work closely with the PI and other project
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applies sophisticated statistical analyses to these unique and state-of-the-art datasets to model processes related to aging and disease. The postdoc will join a growing multidisciplinary team of
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duties. The position will involve a mixture of methodological and collaborative research in diabetes genetics and genomics. The methodological research may include but is not limited to statistical models
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. Knowledge and experience in modelling techniques in Mesoscale and Multiphysics finite element modelling Good communicative skills, teamwork competence and collaborative abilities, as well as capability
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to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration
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Are you passionate about pushing the boundaries of medical research? Join us at Chalmers University of Technology to explore how advanced models can transform the way we study treatments. We
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-renal diseases. Our research spans large-scale register and laboratory data, causal and predictive modeling, and computational image analysis of kidney biopsies. About the Research Group: Led by Professor
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insights into the various theoretical models and analytical methods used across these research areas, as well as the ability to work with the databases under development. The aim of the center is to