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Group, https://www.chalmers.se/en/departments/e2/research/communications-antennas-and-optical-networks/communication-systems/ , employing around 45 people, including 8 faculty and 25 PhD students. During
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) Performing multivariate analysis of risk factors and tumor biomarkers Collaborating in the development of digital platforms and interactive dashboards for data visualization Contributing to the writing
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cells Key methods will include: Gaussian Processes (heteroscedastic & multivariate) Operator-valued and deep kernels Active Bayesian experimental design Physics-informed neural networks Closed-loop
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characterize the spatio-temporal contexts that favor crises. • Development of advanced predictive models (multivariate approaches, machine learning) combining event data, snow and weather data, and remote
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are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology
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today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about
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associations. Multivariate analyses and spatial modelling (e.g., PCA, RDA, species–environment models) will be used to quantify relationships between lichen assemblages and environmental gradients such as
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software will be valued (e.g. Chenomx). - Experience in statistical processing (univariate and multivariate; e.g. STATISTICA) and respective metabolomic integration (e.g. platforms such as MetaboAnalyst
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hydroclimatic compound hazards in human-influenced catchments in the UK, including multivariate compound events, temporally compounding events and spatially compounding events - enhance the temporal and spatial
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: Candidates are expected to be fluent in English (both oral and written), good academic writing and presentation skills. An intermediate level in Spanish would be appreciated. Skills in multivariate data