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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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function, with a particular emphasis on DNA/RNA-LNPs for next-generation gene therapeutics. Your tasks This PhD position is part of a larger EU-funded project focused on the metrological characterization
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initiative investigating how human-specific features of brain development shape early behavior and neural circuit function in autism spectrum disorders (ASD). This position is a joint effort between the
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initiative investigating how human-specific features of brain development shape early behavior and neural circuit function in autism spectrum disorders (ASD). This position is a joint effort between the
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, patch clamp recording, confocal microscopy, calcium imaging and other biochemical analysis (western blot, ELISA, etc.). Ability to work independently and collaboratively in a team environment Excellent
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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic
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data integration and etc. * Discuss with the laboratory members in bioinformatics analysis as needed. * Maintaining an active role in research of the current trends in bioinformatics, and using new
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this project, funded by the Swiss Federal Office for the Environment (FOEN), the occurrence of PFASs in ambient air will be investigated. Sampling a broad range of PFASs simultaneously is challenging, as is
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. Initial analysis suggests recurrent selection of divergent types in multiple locations. The aim of this role is to complete this analysis and prepare a manuscript for submission for publication
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research experience in state-of-the-art hydrogeophysical methods, hydrological modelling, soil flux analysis, and be able to work in an international team with world-leading scientists. The PhD student will