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degradation modes. Evaluating suitable sensor technologies and data sources for acquiring relevant metrics. Developing tools and algorithms to automatically analyse sensor data, assess asset condition, and
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the following research areas providing a template for relevant directions: Research Topics: -Distributed task planning and navigation for collaborative manipulation -Motion planning for non-circular unsymmetric
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the timing of irrigation develop detection algorithms to identify signals in cloud and precipitation properties during periods of irrigation activities analyse interactions between irrigation, clouds, and
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geospatial data on fisheries activities near OWFs to evaluate the distributional impacts of OWFs across different fleet segments; conducting fieldwork and surveys in collaboration with ‘NO REGRETS’ partners
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of the North Sea. Existing automated detection algorithms will be used to identify seals and porpoises. The results will be used to create seasonal acoustic presence maps, investigate differences in community
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Gevorgyan (ashot.gevorgyan@lnu.se ) Human Resources Consultant: Stina Andersson (stina.andersson@lnu.se ) Linnaeus University has the ambition to utilize the qualities that an even gender distribution and
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an optimal molecular representation (including data procurement) and integrating generative model and binding oracles. Propose an algorithm to bias the generative models towards desirable properties, such as
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workspaces under positional restrictions. Develop smart control algorithms that will allow the robotics end-effectors to communicate with the central control system and coordinate tasks with other end
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programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a
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analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. This is based on perspective and