12 developer-"https:" "https:" "https:" "UCL" Postdoctoral positions at KTH Royal Institute of Technology
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(Türkiye), Oxford Brookes University (UK), and Gdansk University of Technology (Poland). The project aims to develop a new generation of microfluidic system for combined hydrodynamic and acoustic cavitation
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the supervision of master’s and/or PhD students. Astrophysics research at KTH is part of the Oskar Klein Centre for Cosmoparticle Physics (OKC) at the AlbaNova University Centre (https://www.okc.albanova.se ). OKC
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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publication list. You have well developed analytical and problem-solving skills. The candidate should have very good knowledge of the English language, such as written and oral skills since communication is
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coupling where applicable. The present post-doc position will contribute and lead research in relation to the development and validation of techno-economic performance models for the design and operation of
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. This postdoctoral position at KTH focuses on developing advanced modelling frameworks and techno-economic analyses within two national research projects addressing virtual energy sharing and large-scale
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recently completed or will soon complete their doctorate. Background Digital Futures is a cross-disciplinary research centre that explores and develops digital technologies to address major societal
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) and Lundberg’s Lab at the School of Chemistry, Biotechnology and Health (CBH). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and
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sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities
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acoustic monitoring through research in dynamic noise mapping. You will develop real-time methods for road traffic noise assessment, including AI-based traffic classification and acoustic modeling of mixed