270 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" "Dip" "Dip" research jobs in Sweden
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group (www.bourginelab.com ) led by Paul Bourgine. The group specializes in the production of ossicles/bone tissue that recapitulate the structure and function of skeletal bone and bone marrow. In the
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. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/postdoc
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, funded by Kempe fundation is full-time for two years with access may 2026 or by agreement. Departmental specific information The research group led by Jonas von Hofsten (https://www.umu.se/en/staff/jonas
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microscopy and spectroscopy to investigate their unique electronic, structural, and plasmonic properties. Project 2: Exploring the synthesis of metallene layers sandwiched between SiC and graphene
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advice and by building a social network in their new hometown. http://www.sdcn.se . Project description The position will be associated with a project on topological phases in moiré materials, focusing
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plan, carry out and follow up research projects. You work in a structured and thorough manner and have good collaborative skills. Furthermore, you have strong communication skills in both speech and
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motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14614&rmlang=UK
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science and innovative programming. Read more at https://liu.se/ida You will be employed in the Machine Reasoning (MR) Lab which is one of the units at the division Artificial Intelligence and Integrated
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protein assemblies with precise geometry, thereby creating molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models