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modeling and simulation, as well as patient-focused and policy-related studies, ranging from individual drug optimization to pharmaceutical policy analysis. More about our research: https://www.uu.se
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in bioinformatic metabolomics data analysis The Department of Chemistry – BMC conducts research and education in analytical chemistry, biochemistry and organic chemistry. More than 100 people
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motivated individual to pursue a PhD in the area of reliable conversational domain-specific data exploration and analysis. The prospect PhD student will join a research team in KTH led by Professor Aristides
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simulations, computational modelling, and/or data-driven analysis to assess the impact of different climate policy pathways. Developing interactive AI-based narratives that communicate climate risks in ways
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ten members with expertise in advanced flow cytometry, single-cell analysis, bioinformatics, antibody technology, and experimental systems both in vitro and in vivo. The group has recently received a
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data
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of Mathematics ranges over many different areas of mathematics, from algebra, geometry and analysis to mathematical logic. Project description We seek to recruit a PhD student for the following project: Group
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experience in large-scale quantitative and functional proteomics Experience in sample preparation of cells for quantitative proteomics Strong skills in quantitative proteomics data analysis using R, as
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simulation, stakeholder mapping, and scenario analysis. The project is led by Professor Frank Dignum (main supervisor) and Dr. Jason Tucker. Requirements The general admission requirements for doctoral studies
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, Sweden, and the Netherlands, collaborating on qualitative, ethnographic research and data analysis. Duties include: Planning and conducting field studies and interviews in Sweden, Finland, and/or