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AIPhD in computational modelling RAM³ is a WASP-WISE NEST project This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability All early-stage researchers recruited
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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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interdisciplinary, applied research with expertise in visualization, design, computer graphics, and the learning sciences. The research nexus for the division is the Visualization Center C, a unique science center in
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Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics” - a multidisciplinary research effort at the intersection of machine learning and materials science. This
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quantitative interdisciplinary program. Excellent written and oral communication skills in English are required. Demonstrated capacity to integrate forestry and economics concepts, experience writing scientific
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Computer Science or Agricultural engineering or related subject. Perfect scientific skills with excellence in real life experimentation, as well as very good communication skills are considered as a strong plus. You
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of the faculty of science and technology Qualifications To be qualified for the position, you must have a MSc degree in Electrical or Mechanical Engineering or Computer Science or Agricultural engineering or
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The Department of Physics, Umeå University, is looking for a PhD student in computational physics with a focus on understanding the coordination mechanisms between the nucleus, mitochondria, and
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). The overall objective of LUPREP is to create the conditions for the development of interdisciplinary research of the highest scientific quality in the field of total defence. This work will be carried out in
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics is looking for a PhD student in computational physics with a focus on understanding