281 structures "https:" "https:" "https:" "https:" "https:" "https:" "University of Southampton" research jobs in Sweden
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causal inference with structural economic modelling. Subject area The subject area for this position is economics. Fields of specialization: Labour Economics – AI and the Economy; Econometrics – Structural
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UnitedKingdomTime) Position Description: Apply Position Description The project involves mathematical modelling of complex fluid dynamics, in particular viscoelastic flows in nano-structures. The work involves
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: The primary location will be at the KI Flemingsberg campus, but since the project is a collaboration with the SciLifeLab DDD platform some parts of the project will also be performed in Solna. https
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should be clear in your communication with others and have strong skills in English, both spoken and written. You must also be able to collaborate effectively to achieve common goals. We value a structured
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28 Mar 2026 Job Information Organisation/Company Lunds universitet Department Lund University Research Field Technology » Construction technology Researcher Profile Recognised Researcher (R2
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communication with others and have strong skills in English, both spoken and written. You must also be able to collaborate effectively to achieve common goals. We value a structured approach and the ability
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strengthen your application: Experience with molecular biology. Experience with protein structures. What you will do Prepare, and help others prepare biological samples for mass spectrometry analyses
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technologies. The work will involve the design, fabrication, and experimental characterization of nonlinear nanostructures with desired properties related to particular applications. Structured nonlinear
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Job related to staff position within a Research Infrastructure? No Offer Description The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong research
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collaboration with Volvo Construction Equipment, Epiroc, Boliden, Retenua, and Örebro University. The project sets out to develop multimodal, failure-resilient and trustworthy AI methods for autonomous navigation