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range of advanced functional genomics methods, particularly single-cell technologies, in pre-clinical model systems such as cell lines and patient-derived tumor organoids as well as patient samples
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highly motivated doctoral student to join an ambitious project aimed at building machine and deep learning models to study the genetics of human disease. Funded as part of the Helmholtz AI program, the
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bioinformatic tools to develop innovative models and investigate on lineages commitment, cell type evolution and cell-cell interactions (e.g. Cao et al., Nature 2019; Lemaire et al., Science Advances, 2021; Chen
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. The enhanced image quality will support earlier and more reliable detection of eye diseases. Combining artificial intelligence with mathematical modelling, this non-invasive, cost-effective approach has
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be paid to the following experiences: -Experience in sampling and analyses of building materials -Experience in Life Cycle Analysis in construction sector. -Experience in building information modeling
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. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
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on “Statistical models for high-dimensional and functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 18 hours ago
an international team of researchers applying advanced quantitative methods and statistical modelling to a cutting-edge population topic. Students with an excellent master’s degree (distinction
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seismic data to produce 3D geophysical models that will constrain the subsurface extent of rock units that might be suitable for hydrogen generation via radiolysis and/or serpentinization and identify
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- advocating on behalf of the British defence estate - within UK Parliament. Framed by the sociological theorising of C.Wright Mills, modelled on NCRM Investigative Methods , and building on research by