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23 Oct 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences
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enrichment techniques combined with MS/MS methods and data analysis have revealed a large extent of PTMs in proteins a lack of efficient affinity-based enrichment techniques causes several of the modifications
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managing both spatial and temporal data, these developments will need a close interaction with researchers working in the projects. Your profile We are looking for candidates who hold a PhD in Soil Sciences
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using databases for hydrological data. This includes management of big data sets Experiences of using statistical methods for time-series analyses Experiences in designing and using workflow
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fueling of hydrogen will be tested. These data will be used to validate the developed models and guide infrastructure design. You will collaborate with other PhD students and researchers from Uppsala
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approval, ordering register data, and conducting econometric analysis of large register-based datasets. Further tasks include conducting health economic evaluations, project planning, scientific writing, and
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FieldTechnologyYears of Research ExperienceNone Additional Information Work Location(s) Number of offers available1Company/InstituteUppsala universitetCountrySwedenCityVisbyGeofield Contact City Visby Website http
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syllabus for the Board of the faculty of science and technology Further information Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20
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student will be responsible for summarizing and interpreting simulation results, performing quantitative comparisons with experimental data, and presenting the findings in a PhD thesis and scientific
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for the benefit of Swedish society and industry. Project description This PhD project is part of the interdisciplinary WASP-DDLS NEST project AID4BC , which has the overarching aim of advancing data-driven