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the fields of information visualization / visual analytics as well as machine learning in close collaboration with ISOVIS members, other research groups of the department, and domain experts within DISA
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collaborative manner. Conducting interviews, workshops, and collecting case study data, translating the case observations into analytical representations, writing and presenting high quality papers, and being
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, molecular and population genetics, genomics, conservation, and behavior. More information about us, please visit: the Department of Zoology . SciLifeLab is a national research infrastructure. In Stockholm
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Sweden’s largest museum. For more than 200 years, the museum has been collecting specimens and data and conducting research on life on earth. The collections contain more than 11 million plants, animals
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application! We are now looking to appoint a postdoc in Generative AI-Driven Data Synthesis for Building Energy Modeling, placed at the Department of Science and Technology, Division for Media and Information
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Analytical Chemistry through highly competitive funding from ERC and the Swedish Research Council. Subject description We have recently discovered that thermal gradients in combination with an acoustic field
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national and European projects that focus on both fundamental and applied research. The Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) addresses data-driven methods to gain
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, and finalize research projects independently, creative and analytical thinking skills, and the ability to collaborate effectively both independently and within a team are also expected. It is considered
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, on the Swedish west coast. Information about the project and division The broad goal for this project is to develop prototype HPC and AI systems based on EU-design and developed chiplets using the latest
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing