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structures, designing appropriate benchmarks for the target domain, and determining which fusion architectures best balance performance, interpretability, and computational efficiency. The student will
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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creativity, thoroughness, and a structured approach to problem-solving. Additional qualifications Experience and courses in one or more subjects are valued: estimation theory, statistical machine learning
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environment sector”. Flat glass is a well-used material in the construction industry but has traditionally been disposed as landfill. New initiatives to create a circular flow of flat glass has the potential
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in structured research documentation Strong ability to work collaboratively Curiosity and commitment Merits: Previous scientific publication in a peer-reviewed journal within the field of pancreatic
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. Position description Construction industry is one of the biggest contributors to waste and carbon emission and this sector is at a crossroads. Unless major changes, the industry risks failing to meet the
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generative models, geometric machine learning, dynamical systems, and/or multi-modal learning. From the materials science perspective, our primary focus will be on ultra-thin, so-called, 2-dimensional
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models all the way to the materials discovery lab. From the machine learning perspective, your research will be in the area of generative models, geometric machine learning, dynamical systems, and/or multi
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-performing, and collaborative PhD student to join our dynamic and international research group at Mid Sweden University, comprising over 30 researchers from around the world, all passionate about innovation