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develop robotic fabrication workflows for 3D printing to fit uniquely shaped components waste-free and with high design quality. About the research environment The PhD student will join the research area
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Machine learning focuses on computational methods by which computer systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to
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synchrotron-based time-resolved X-ray solution scattering of ATP-dependent protein reactions with significant contributions to the field both with respect to experimental design and high-performance computing
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. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel
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technologies for medical diagnostics, treatment, and monitoring. Our research activities span computational modeling, algorithm development (using both traditional signal processing and machine learning
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that hosts, e.g., the Nordic ALMA Regional Center node, and is the SKA center for Sweden. The fusion research activities are aligned with the integrated European fusion research programme implemented by
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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world
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is to improve the understanding of adaptive mechanisms employed by different gut bacteria at a high resolution to guide next generation microbiota aided therapies. Project description Studying
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transferrable skills). Develop your own scientific concepts and communicate the results of your research verbally and in writing. Perform theoretical and computational research and publish articles within
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, strain level metagenomics, high resolution metagenomics You who are admitted to doctoral studies at the Faculty of Medicine will be part of the faculty-wide doctoral education programme. The doctoral