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approaches and research themes here: www.scilifelab.se/researchers/lisandro-milocco/ This project leverages the rise of data-driven dynamic modeling—from fluid dynamics to ecosystem studies—to uncover
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models of interacting ecological and evolutionary (eco-evolutionary) processes. You will conceptualize and model the complexity in which ecological divergence and speciation drive an adaptive radiation
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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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for phylogenomic analysis. Together with other team members, you will also be developing and implementing the evolutionary models used in the phylogenomic analyses, and in interpreting and publishing the results
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about being a Lund University employee Work at Lund University . Work duties and areas of responsibility The candidate will conduct studies on solid tumors using advanced mouse models and human research
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analysis or predictive modeling of pathogen biology or host-microbe systems for which multidimensional, genome scale experimental data are now available, or it may use population scale genetic, clinical
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well as more classical but largest-scale equation-based mechanistic computational models together with patient data to create clinically predictive computational models for cancer and other diseases. Description
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Scientific Computing the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms
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develop phage therapeutics which are well understood and ready to be tested in pre-clinical models. Your profile To be eligible for employment as a postdoctor, a PhD or a foreign degree deemed to be
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use the data to train deep learning models of cancer. This allows us to identify systems-level mechanisms that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. We