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amplifying disease burden worldwide, with broad effects on population health and healthcare systems. Your work will deepen understanding of the cellular and molecular mechanisms that drive obesity and
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We are seeking a postdoc to become part of our research team. Research will be conducted at the Günther Lab within the Human Evolution Program within the Department of Organismal Biology
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of hybrid-electric aero-engine performance and environmental impact will be a key focus. The project also includes preliminary system design and mission analysis. A large part of the work will be conducted
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will be part of a research team, based in Umeå and Uppsala, for a project funded by VR. The post doc will be responsible for detailed analysis of soil fungal communities, soil organic matter quality
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effects on population health and healthcare systems. Your work will deepen understanding of the cellular and molecular mechanisms that drive obesity and associated metabolic disorders, with a primary focus
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performance and environmental impact will be a key focus. The project also includes preliminary system design and mission analysis. A large part of the work will be conducted at – or in close collaboration with
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of the research team that works to generate high-quality biomedical devices in a high throughput format. The work includes biosensor device, biorecognition design, and electrochemical analysis. The duties
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position will be placed in the ISOVIS group (http://cs.lnu.se/isovis/ ), led by Professor Andreas Kerren. The research group mainly focuses on the explorative analysis and visualization of typically large
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
neurodegenerative diseases. Take the opportunity to work in an international environment with world-leading research and contribute to the development of new diagnostic biomarkers and treatment strategies
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, spectroscopic techniques (vibrational and X-ray spectroscopy), inorganic synthesis, and advanced data analysis (MATLAB, R or Python). Experience in thermodynamics and/or molecular modeling (e.g., molecular