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recordings, immunostaining, imaging, and tissue preparation in non-standard animal models. The position may serve as useful preparation for those who later choose to pursue a PhD. Qualifications It is a
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image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre to finished product
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-probe measurement techniques based on photoelectron-photoion covariance imaging, and (3) experimental studies of charge dynamics and nonlinear processes. The project might also include complementary
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of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as flow matching. Therefore, the doctoral
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, spectroscopic signatures, microstructural images, processing conditions, and macroscale performance will be used for the optimization of materials. The candidate will collaborate extensively with in
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prototype rigs, as well as circuit boards experience in using 3D printing systems experience from being responsible for computer networks or maintaining/updating software for computer-based control systems
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for a PhD position in plant science. The expected starting date is during summer 2026 or according to agreement. Umeå Plant Science Centre (UPSC) is one of the strongest research environments for basic
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competence in image analysis and data processing. What you will do Develop and optimize experimental workflows, including sample preparation under different environmental conditions. Design and conduct
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multidisciplinary environment at the interface between academia, clinic, pharma industry, where resources and expertise in human biobanking, omics data, imaging, animal surgery and molecular biology methods will be
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(surgery, medicine, equine sports medicine and rehabilitation). There is also extensive specialist support in related disciplines including anaesthesia, dermatology, ophthalmology, diagnostic imaging