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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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at the intersection of computational biophysics, AI/ML modelling, and biophysics/chemistry-driven approaches to understanding and developing therapeutic lipid nanoparticles. Focus areas of the position Chemistry
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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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and motivated PhD student to join an interdisciplinary project that combines computational biology, spatial transcriptomics, and tumor modeling to understand how the aggressive brain tumor glioblastoma
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to the advancement of precision medicine in oncology. A typical workday may involve writing and running code to pre-process sequencing data on a compute server, applying statistical models and algorithms to construct
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bioinformatics and evolutionary models The project will involve limited amount of experimental testing of computation models. A willingness to engage in this work is required. Experience in practical work
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for computational protein design, but also for an array of other applications related to modeling and understanding proteins and their behavior. The heart of the project will be the development and refinement
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data. For this, the applicant will generate in silico datasets from diverse computational models of development, such as models of tooth development and gene regulatory networks. They will leverage
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. For more information, see www.iob.uu.se . The Physiology and Environmental Toxicology program is a growing, vibrant research environment where experimental models and molecular tools are used to study and
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Are you passionate about applying computational approaches to solve problems within chemistry and biology? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a