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application! The Department of Biomedical Engineering (IMT) conducts advanced research at the intersection of engineering and neuroscience, with a focus on the development and clinical application of minimally
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forefront of Europe’s AI development and contribute to building the next generation of AI infrastructure? We are now looking for a Team Lead for AI Technology & Tools who wants to take a strategic and
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will be responsible for shaping and delivering MIMER’s structured training and skills development offering. The role combines strategic program design, operational coordination and ecosystem engagement
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to the development of several innovative doping methods. More broadly, the research aims to understand and control how molecular interactions, ions, and charge transfer processes determine the electronic properties
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modelling, data assimilation, and multi-scale neural network architectures applied to spatio-temporal data. The development of these methods is motivated by a concrete and important application: inferring gas
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development related to the above areas. Publications in first class journals and highly competitive conferences in areas relevant to the work, i.e. network modelling and protocol emulation in virtualised
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the further development of ASC. Very good knowledge of Swedish language is an advantage. Personal competences and abilities You are highly collaborative, thriving in multidisciplinary research settings and
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simulation of time dependent non-linear PDEs has emerged as a key technology. A main task of this employment is the development and analysis of numerical methods for wave propagation problems. Particular focus
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education and research that support and benefit each other. Our mission is to encourage innovation and development through which we develop dedicated, innovative student who can improve the world. We have
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integration of methodological development and practical applications. We maintain extensive collaborations with industrial partners as well as with leading research groups worldwide, providing doctoral students