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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
analysis from high-throughput sequencing projects, employing in-vitro, preclinical and clinical studies. This position involves designing and executing experiments, data management and analysis, manuscript
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
analysis from high-throughput sequencing projects, employing in-vitro, preclinical and clinical studies. This position involves designing and executing experiments, data management and analysis, manuscript
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and Data Science for Spatial Genomics in Diabetes This position centers on the development and application of machine learning, image analysis, and integrative omics approaches to spatial
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harmonic generation. The project involves pulse compression in a multipass cell, pulse shaping in both time and frequency domains, beam shaping using spatial light modulators (SLMs), and generation of new
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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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temporal dynamics over weeks and seasons, their interactions such as predator-prey relations and their spatial extent over time. As part of this Swedish Research Council funded interdisciplinary research