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our understanding of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars—regenerative medicine, biomaterial
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into 16 research groups. We develop technology and solutions within a number of market areas, aiming to contribute to sustainable development. Background for the position At the Energy & Technology Division
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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to WAN and inter-domain networking, Excellent command of foundational and applied AI technology, from neural networks, distributed reinforcement learning to agentic AI and recent developments in
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, develop strong analytical skills, and collaborate with international researchers in macroecology and climate change biology. The candidate will also contribute to a growing field at the intersection
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, pharmacoepidemiology, public health, statistics or a related field. The position offers excellent opportunities for scientific development within an international research environment. About the project/work tasks The
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position offers excellent opportunities for scientific development within an international research environment. About the project/work tasks The specific tasks will be tailored to the candidate’s background
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the Government Pension Fund for loans, insurance and pension Creative and collegial working environment A workplace with progressive development Flexible working hours Active university sports team General
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harmful invasive gastropods. This study promises unprecedented resolution of mollusc genomes, which will be utilised to address genome evolution, using cutting-edge comparative genomic analyses and identify