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geometry, mathematics of deep learning, or mathematics of computer vision. The successful applicant will be a highly motivated researcher, capable of working both independently as well as in collaboration
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collaboration with other departments. We research next-generation batteries, more efficient solar cells, more environmentally friendly hydrogen, and materials that can replace critical elements. In
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: The first project, Dual Control at Scale: Learning-based control for systems with millions of states, is funded by an ERC Advanced Grant, a prestigious international grant aimed to give long term support for
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relevance and specialized expertise on forests and forestry as complex socio-ecological systems. We closely collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology
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. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects
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at translating sensor‑based health monitoring into operational decision‑support tools for farmers, in close collaboration with an industry partner. The project focuses on automated rumen‑fill assessment using 3D
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sensor data collected in barn environments. The research is conducted at SLU in close collaboration with European research groups within EUPHAW. The work takes place in a multidisciplinary research
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to maximize the yield of the desired product through selective reductive catalytic fractionation (RCF). The project also includes a close collaboration with researchers from the Wallenberg Wood Science
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find more information on our research website . We care about creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning
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of time-resolved electrochemistry. Your main work tasks will be to: Interact with and support user groups at the HIPPIE beamline (including on-call work) Collaborate with users wishing to use