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and analyze relevant data and information. Develop and use TIMES-based models. Scenario analysis and communicate results from the analyses. Write scientific journal articles both individually and
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these challenges by using piezo-electric and/or optical fiber based sensor system, combined with physics informed data analysis method, exploiting the digital twin model developed by the first PhD project. In
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, as well as learn how to perform robust in silico analysis of data (training will be provided by senior lab members, collaborators, or experts in the Institute core facilities). The candidate will
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: Synthesis and functionalization of nanoparticles. Modification and loading of extracellular vesicles. Analysis of data related to the cellular uptake of nanoparticles and extracellular vesicles. Where
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form of energy–e.g. electrical, magnetic, acoustic, or chemical–into mechanical motion. These swimmers are expanding the frontiers of micro-engineering and can be used in tasks such as chemical analysis
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, interpersonal, and communication skills are required. Prior experience with experimental design, programming of behavioral tasks, and data analysis. Technical skills (e.g. Python, R, Unix) are also highly desired
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this project, you will develop innovative image analysis methods to improve image quality and enable advanced quantitative analyses of ^89Zr-immunoPET data, including radiomics and artificial intelligence
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and progresses? In this PhD project, you will use innovative data analysis approaches and unique, deeply phenotyped cohorts to investigate the complex relationship between dietary factors, metabolic
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collaboratively in an international research environment Preferred qualifications: Proficiency with a relevant data-analysis environment, preferably Python or R, and SPSS Background in comparative higher education
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23 Sep 2026 Job Information Organisation/Company Sveriges Lantbruksuniversitet Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Application Deadline 12 Oct 2026 - 12