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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models for latent variables and their connections to modern
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conducted in collaboration with BioMS and experts in proteomics and peptidomics at Lund University. The duties include: Planning and conducting experiments. Developing and optimizing methods for sample
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regions. Implementation methods will include: Seasonal sampling of food web components, from primary producers to fish, during open-water (summer) and under-ice (winter) conditions. Analysis of biomarkers
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the Nordic countries and North America. The project will use samples and data collected from Arctic/alpine lakes in Sweden and other circumpolar regions. Implementation methods will include: Seasonal sampling
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modelling of flow and transport, analysis of uncertainties in model predictions, and development of efficient methods for evaluating their implications for geological repository safety. The methods will be
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biological data. Analyzing and visualizing collected data using appropriate statistical methods and relevant software. Conducting literature reviews and completing doctoral-level coursework. Presenting
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. galvanostatic cycling, cyclic voltammetry, electrochemical impedance spectroscopy) and advanced characterisation methods (e.g. X-ray photoelectron spectroscopy, scanning electron microscopy, infrared spectroscopy
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skills in energy engineering. Basic understanding of modelling and quantitative analytical methods. Ability to approach, formulate, and analyse scientific problems. Additional merits for this specific
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
background in photonics, nanophotonics, ultrafast optics, condensed matter physics, quantum optics, metamaterials, magnetism, or related experimental or theoretical methods is meritorious. Willingness to work