53 algorithm-development-"Multiple"-"Prof"-"University-of-South-Eastern-Norway" positions at Chalmers University of Technology
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and responsible development of the maritime industry. We address the multiple pressures that ships pose on the ocean and try to bridge the gap towards environmental management and marine spatial
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to include shipping pressures and impacts in marine environmental management and spatial planning. Research environment Our research aims at supporting sustainable development of the maritime shipping sector
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students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium through AI-driven microstructural analysis. The NEST-WISE project offers a vibrant collaborative
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illumination. In this project, we will go one step further and develop disentangled latent representations, not just for individual objects, but for full three-dimensional scenes with multiple objects that might
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Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
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pioneering research on rethinking space and municipal planning processes conducted in co-creation and a transdisciplinary setting spanning architecture, urban development, human geography, ecology, and economy
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developing digital and quantitative tools for analysing the built environment. This role provides a unique opportunity to make a meaningful impact on Sustainable Development while honing expertise in a
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with GKN Aerospace Sweden with partial work there and combines numerical and experimental research. Project overview The purpose of this project is to contribute to the development of an ultra-efficient
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industry, academia, and government agencies. Our mission is to promote and integrate the life cycle perspective into all decision-making processes. We enable skills development and knowledge sharing among
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research position. The project assistant will apply their biomedical and AI knowledge to conduct a feasibility study developing AI tools to predict properties of lipid formulations for drug delivery