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, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
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comparison. Thus, this project will deliver an evidence-based decision support to forest stakeholders and policy makers. About the position The postdoctoral candidate will join the research group of Prof
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, and engage with a vibrant network of national and international collaborators. The recruited candidate will work in the AIMLeNS lab lead by Assoc. Prof. Dr. Simon Olsson at Chalmers University
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research Centre on nanoscience and nanotechnology. The division hosts the research group of Prof Vanya Darakchieva whose research over the past twenty years on the fabrication and advanced characterization
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-of-the-art semantic and instance segmentation algorithms for 3D and 4D microtomography data. The project has a particular focus towards analysing fibre-based materials but will also consider other material
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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position is filled. Contact information For questions, please contact: Prof. Christian Müller Department of Chemistry and Chemical Engineering Email: christian.muller@chalmers.se | Phone: +46 31 772 2790
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, bacteriophages. Prof. Hauryliuk obtained his PhD in 2008 at Uppsala University, Sweden. His scientific contributions were recognized though the Ragnar Söderberg fellowship in Medicine (2014), the Swedish Fernström
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considered. Application deadline: August 24th, 2025 For questions, please contact: Associate Prof. Jinhua Sun Email: jinhua@chalmers.se *** Chalmers declines to consider all offers of further announcement
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particular expression with unspecified matrix sizes. When a concrete expression is evaluated at run-time, thus revealing the matrix sizes, an extraction algorithm can identify an optimal evaluation scheme