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. The candidate is expected to have an overall interest in AI concepts and methods, in particular human-centred AI, and expertise in formal models and machine learning, as demonstrated by publications and other
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written English, ability to work both independently and collaboratively. Additional qualifications Experience or coursework in one or more of the following areas is considered an advantage: formal methods
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Description of work You will be working in the laboratory of Marta Bally (https://ballylab.com
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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for Mathematical Sciences is a joint department of the Faculty of Engineering (LTH) and the Faculty of Science at Lund University, where the mentioned division formally belongs to LTH. Research at CMS currently
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overall interest in AI concepts and methods, in particular human-centred AI, and expertise in formal models and machine learning, as demonstrated by publications and other scientific output. Ideal
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, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy
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experimentally driven (approximately 70/30 wet lab to modeling) and will include: Design and fabrication of 3D-printed brain tissue models with tunable transport properties Development of experimental methods
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in chemistry, physics and biology methods and concepts required to resolve the dynamic organisation of glycocalyces. The project will establish a new level of understanding of how glycocalyces perform
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further developing code-based workflows for data collection, processing, and database updates, including work with external data sources and APIs. Developing methods and program code that ensure