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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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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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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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partners in the project. Reporting results to industry and academic forums, as well as open science platforms. Contract terms The PhD position is fully funded from the start and has a scoped duration of 4
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practical and impactful outcomes. This PhD project is a collaboration between the Department of Building Technology and the Department of Forestry and Wood Technology within which the Competitive Timber
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that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new
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radioactivity. Important fields of application are radiotherapy to treat cancer, radiation diagnostics using X-rays, computed tomography, nuclear medicine and magnetic resonance imaging (MRI). We mainly work
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such as a red stop light or the police's blue light. Good lighting design can significantly affect the experience of form, surfaces, textures and color. The PhD student is expected to contribute new
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sustainable future through materials science. Read more: https://wise-materials.org All early-stage researchers recruited into the WISE program will be a part of the WISE Graduate School https://wise