422 evolution "https:" "https:" "https:" "https:" "https:" "University of Bristol" uni jobs in Sweden
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between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. Where to apply Website https://web103
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Medical Science Project title: Development of nucleic acids-based technologies for clinical diagnostics The Department of Laboratory Medicine is located at the Institute of Biomedicine at the Faculty
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targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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international academic institutions and 14 industry partners (https://euraxess.ec.europa.eu/jobs/401249 ). We work together in the field of fluid-structure interaction in technical systems and industrial
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This project focuses on the development of quantum–classical modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical
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, Spanish, Swedish and German. For more information about the department, please visit: https://www.umu.se/en/department-of-language-studies/. We are now looking for an associate professor in cognitive
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Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg | Sweden | about 2 months ago
on the university's doctoral student pages https://www.gu.se/en/doctoral-studies Duties Doctoral education in Medical Science comprises carrying out a scientific project and completing at least 30 credits of courses
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for the future industry in a sustainable society. Through excellent research, innovation, and education, we contribute to the development of future industrial value chains. In the division of Computational
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to the development of a bio-based, sustainable society. In particular, we focus on microbial processes and enzymes acting on renewable biomass. The division has an extensive instrument platform for analytics
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to adapt existing TARA practises to the new AI-based and AI-driven software development. The research will have as a goal to understand the limitations with existing TARA frameworks as well as how to extend