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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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Description of the workplace The work will take place within the framework of the activities in the Magnetic Resonance Physics group. The group is interdisciplinary and includes members active in various faculties, companies, and the healthcare sector. Within the research group, we prioritize a...
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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