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Subject description AI-based protein design and synthetic biology for developing programmable living materials, with a particular focus on the de novo design of proteins biofilm systems
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for submitting an application is September 10, 2026. Project Description and Tasks In the project “All-Plant-Based Artificial Lighting Solution for Greenhouses”, we propose to design and synthesize sustainable
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. Work description You are expected to explore both software architecture and software design in the era of artificial intelligence, addressing both how AI can support engineering practices (AI4SE) and how
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and unsupervised pattern recognition problems as well as decision making tasks. Your duties will include reviewing relevant literature, designing and simulating neural network models, analyzing and
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projects in and around the group address, among other things, AI-supported code review, semi-automatic code improvement, trust calibration in LLM-assisted refactoring and the design of trustworthy agents in
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will develop and demonstrate scalable verification protocols for bosonic quantum computers on our superconducting multimode platform. The work will involve device design, fabrication, and quantum control
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computational techniques. The research is, as such, both fundamental and applied. Work duties The main research activities will be to design and synthesise bio-based solvents for use in sustainable electrolytes
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Description of the workplace The position is based at the Division of Ergonomics and Aerosol Technology at the Department of Design Sciences, Faculty of Engineering (LTH), Lund University
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advanced analytical approaches, including statistical modelling, machine learning, and/or genetic epidemiological methods, to study disease trajectories, risk factors, treatment patterns, and sources
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staff position within a Research Infrastructure? No Offer Description Description of the workplace The position is based at the Division of Ergonomics and Aerosol Technology at the Department of Design