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statistical shape analysis, Riemannian geometry, time series and stochastic processes, and Bayesian statistics. Key responsibilities: To carry out research within the framework of the project, under
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production target materials. This involves the development of experimental plans to examine material properties such as thermal diffusivity, thermal conductivity, and thermal expansion – material properties
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of cell death and discovering small molecules that target mitochondrial adaptations to overcome therapeutic resistance in cancer. We integrate approaches from chemical biology, mitochondrial biology, cancer
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in human fungal pathogens and to evaluate the efficacy and molecular targets of a novel antifungal therapeutic. The successful candidate will evolve drug-susceptible fungal isolates into antifungal
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targets. You will take a lead on development of computational approaches to integrate multi-omics data from patient samples, including DNA methylation, histone modifications, single-cell transcriptomics and
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and its gain-of-function mutants in cancer; 2) the role of tumor suppressors, including p53 and its target genes, in tumor microenvironment and tumor immunology. Among the key duties for this position
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Department of Ecology We are looking for a postdoc/researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoc
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scale and the coastal areas, up to, and including, development and demonstration of climate services. RIVIERADE will target three European Seas (Baltic, Black, Mediterranean), to produce data and
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
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area of Drosophila neural development: How are stochastic choices made in sensory neuronal development coordinated with the deterministic generation of neuronal diversity in the synaptic targets