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We are seeking a highly motivated person to conduct research in silviculture and growth and yield modelling. The projects focus on stand management in conifer tree species and choice of tree species
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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, LSST, GaiaNIR, Euclid, NewAthena, etc.) to enhance the solutions and the overall science return. The combination of LISA and data from other projects would potentially allow a more accurate Galaxy model
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knowledge of the underlying association models. Demonstrated pedagogical skills. Additional assessment criteria: Consideration will also be given to good collaborative skills, drive and independence, and how
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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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learning can improve software architecture recovery, how to optimize machine learning models at compile and runtime, and autonomous agents for software development. Part of the research is conducted through
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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
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data collection, integration, and modelling and 2) co-constructing case studies to demonstrate how this workflow may be applied at the local scale but also integrated internationally. This postdoc
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science-related applications. Explicitly accounting for symmetry is not the standard approach in machine learning – a well set up model should be able to ‘detect’ the symmetry automatically. One way
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and model organisms. Our main areas of research comprise the interaction of plants with microorganisms and other environmental stresses, plant growth and development, biotechnology and metabolic