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networks using graph-theoretical methods and structural and functional connectivity analyses Apply multivariate statistical modelling and machine learning to multimodal datasets Investigate
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partners to gauge views on data centre construction and operation in Finland - Skills needed: Multivariate statistics and regression modelling using R, Python or Stata, basic understanding of survey
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Doctoral student in physics-guided foundation model for time-series data Reference number REF 2026-0434 Join us to develop physics-guided, data-driven foundation models for multivariate time-series
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Umeå Proteomics Platform. https://www.umu.se/en/research/infrastructure/umea-proteomics-platform/ The project is led by Sandra Jämtgård, Department of Forest Ecology and Management, SLU in
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spectroscopy or fluorescence microscopy. Spectroscopic or optical measurements of biological samples, including cells, tissues, organoids, microorganisms or viruses. Multivariate spectral analysis