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learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as
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Boreal forests are a key resource for Sweden’s bio-based economy while also providing other important ecosystem services related to climate change mitigation and biodiversity. Sustaining
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methods, technologies, and materials to reduce reliance on unsustainable practices and fossil fuel-based compounds as a response to societal requests for green alternatives that maintain high performance
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employees have free access to our modern gym facilities with trained staff on site. Location The position is based at the Department of Neuroscience in Solna, located within the state-of-the-art Biomedicum
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The postdoc fellow will conduct research in the intersection of AI/Machine Learning and Software Technology. The advertised position will be placed in the DISTA research group (https://lnu.se/en/dista
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Work in Stockholm, in close proximity to nature A research environment with a strong base in use of super-resolution microscopy for biomolecular applications State-of-the-art laboratories in cell biology
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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Description of the Workplace You will be based at the Faculty of Medicine in Lund. The Unit for Diabetes and Brain Function is located at the Biomedical Centre (BMC) at Lund University and is led by
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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circularity in complex aerospace systems. Via Model Based Systems Engineering (MBSE) we think that it would be possible to successfully predict the effects of proposed design changes on circularity and