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are looking for you who would like to be a part of our team to identify resistance to virus yellows in sugar beet. Using molecular methods and sequence analyses, you will map the diversity in Sweden
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nanocellulose and graphene suspensions, polymer nanocomposites, hydrogels, adhesives, and various biomaterials (e.g. biofilms, tissues). Dynamics of complex fluids – Our work examines thixotropic yield stress
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imaging ranging from molecular, through cellular, to tissue, organ and organism levels of organisation, and is coordinated by LINXS Institute of advanced Neutron and X-ray Science. AMBER is funded by the EU
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. The NEST initiative supports regular joint seminars, workshops, and research visits between participating institutions, fostering a dynamic and collaborative atmosphere. About the research group The Computer
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to be realized at FlexPES. These research projects can cover areas of molecular adsorption, on-surface reactions, growth and characterization of 2D materials, thin films, nanostructures, and similar
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for passionate and innovative researchers and teachers who want to contribute to and expand our group! We offer you: A dynamic working environment at a collaborative, internationally connected, and globally
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overview You will be actively involved in several ongoing maritime risk-related projects and contribute to the development of Chalmers’ ship bridge simulators. The project aims to deliver a risk-aware
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application! Work assignments You will work on fault diagnosis with a focus on mechanical anomalies through monitoring of dynamic behavior. The focus of the research is on fault diagnosis of mechanical failures
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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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. Strategic management of platforms and innovation ecosystems – open innovation, platform orchestration, and multi-stakeholder partnerships in dynamic environments Strategic use of intellectual assets and data