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description The project focuses on studying the evolution of evolvability using computational simulations. Evidence from evolutionary developmental biology suggests that evolvability can change rapidly in
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, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
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genome-wide as well as targeted effects of locus-specific epigenome engineering. A strong knowledge of chromatin biology, on the bench as well as on the computer for Next-Generation Sequencing data
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on the bioinformatics program. Qualification requirements Appointment to this career development position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence (RAI) (www.ltu.se/robotics ) subject at the department of Computer Science and Electrical and Space
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research activities in stormwater management. The research is both theoretical and experimental with elements of computational technology and mathematical modelling and is based on close collaboration with