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understanding of selective precipitation in multi-metal sulfate solutions relevant to battery recycling. The PhD student will investigate how pH and redox/oxidation strategies can be used to selectively remove
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Role: Industrial PhD Student position in single molecule analysis Location: Gothenburg, Sweden Type of employment: Temporary contract (4 years) Pay: According to local agreement Working hours: 100
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materials, device designs, and operational modes for these bioelectronic implants. You will also develop and validate finite element models (COMSOL Multiphysics) to support the experimental work. The work is
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of the elements in rocks, soil, and water, focusing on methods to prevent or reduce the environmental impact of metal extraction and infrastructure development. Project description The PhD project will focus
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characterization and geochemical analysis of minerals (major and trace element concentrations, tracer isotope signatures, geochronology). Experience working in Precambrian crystalline terranes is considered a strong
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explicitly incorporating the Archaean basement into a time-constrained, multi-scale structural framework. The project integrates: - Regional geological mapping and structural analysis of the Archaean basement
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sample preparation, extraction, and clean-up; iii) detecting and identifying contaminants using LC-HRMS; iv) performing semiquantitative analysis; and v) applying effect-directed analysis (EDA) to link
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analysis of the time-resolved crystallographic data in terms of structure and dynamics. You are expected to be involved in all steps of this collaborative project, however, depending on your background and
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. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning