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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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, Sweden. The student will form a part of a new NEST initiative funded by the Wallenberg Initiative Materials Science for Sustainability (WISE) and the Wallenberg AI, Autonomous Systems and Software Program
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. The PhD student will be enrolled in a doctoral programme of Chalmers and is jointly supervised by supervisors from the academic and industry sectors. Further information can be obtained by contacting Docent
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, open, and impactful science. The project is part of the DDLS and WASP initiatives, which aim to position Sweden at the forefront of computational life sciences and AI research. The PhD student will
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crafting, material recycling and reuse, sustainable bio-design, and robotic manufacturing. The PhD student will be guided by leading researchers in architectural computational design and robotic fabrication
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qualified supervisory team and a structured doctoral education program leading to a PhD in Geotechnical Engineering. Active participation in the international research community is highly encouraged
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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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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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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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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