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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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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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analytical technique to study protein structure. The Protein Analysis Group in the Department of Pharmacy has internationally-recognized expertise in the analysis of protein higher order structure using MS
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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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, 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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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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training and collaboration across historical, social science, legal, and data science methods, including Earth Observation analysis and the large-scale analysis of survivor narratives. Applicants proposing
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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
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We are seeking to appoint a research assistant who will undertake research towards a PhD degree in Mechanical Engineering. The project objectives are to develop models for the design and analysis