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to increase chances of forming a strong and complementary team. Close dialogues will be held between the recruiting units during the process. Job description The Spatial Proteomics Unit is seeking a motivated
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development for imaging liquids and solid–liquid systems at the nanoscale. Collaborate with researchers at Chalmers and beyond, and share knowledge with the wider microscopy community. Publish and present your
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models using advanced operator learning and physics-informed AI techniques, leveraging high-resolution X-ray imaging data and high-performance computing (HPC) resources. The position offers a unique
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Cancer is a leading cause of death globally, and analyzing digital pathology images for cancer diagnosis and treatment is a complex problem due to the high data volume, variability, and computational
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What
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microscopy workflows to study battery materials and interfaces. Work with new approaches for preparing and transferring sensitive samples. Contribute to method development for imaging liquids and solid–liquid
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, deep learning, and human computer interaction. Furthermore, this university is Sweden’s leading university in industrial collaboration. The Machine Learning (ML) subject at the department
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processes such as metabolic flux readouts and analyses of signaling pathways. In this way, the project integrates discovery-based proteomics with mechanistic experiments to directly link protein localization
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to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven
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Description Job description Driven by the urgent challenges of climate change and energy security, energy systems are undergoing a paradigm shift toward a fully renewable and power-electronic-dominated future