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will contribute to the development and evaluation of methods for bioprinting hydrogels (also referred to as bioinks) that support the development of better 3D in vitro models with such tissue-specific
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department is available at: https://www.umu.se/en/department-of-computing-science/ Project description Graph transformation is a well-established theory that studies computational methods to transform graphs
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networks (CNNs), which identify local correlations in the images. However, in this project, the aim is to go beyond standard CNN-based methods by developing new approaches based on transformers, and implicit
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subject: Technology/Forest management/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods
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-bonding effects in multi-site PCET reactions through photoelectrochemical and laser-based methods. Product Analysis: Analyze reaction products using spectroscopic and analytical techniques such as NMR
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: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and working with large datasets Experience with working independently and organizing
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: Experience studying digital practices, online communities, or cybercrime Experience with qualitative research methods, such as digital ethnography, interview studies, or text analysis Documented experience in
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methods (e.g. chamber-based gas flux measurements, soil sampling etc) Place of work: Umeå Forms for funding or employment: Employment as PhD student, full time for 4 years Starting date: During spring 2026
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is led by Johan Malmström, whose goal is to develop methods within proteomics to promote the implementation of precision medicine in sepsis. The group consists of senior researchers, postdocs, and PhD
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with experimental methods in spectroscopy or diffraction, as well as familiarity with basic programming. Consideration will also be given to the applicant’s ability to collaborate, their motivation and