272 estimation-methods "https:" "Computer Vision Center" Postdoctoral positions in Sweden
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the ability to work in a structured and methodical manner Eligibility A person who has been awarded a doctorate in a subject relevant to the position, or a foreign qualification deemed to be the equivalent of a
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that work individually or in swarms (groups). The focus is on developing methods within control, sensor and communication systems, for such systems. The work involves both simulation and practical testing
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animal for the investigation of long-distance navigation at night, using behavioural and electrophysiological methods. The work will take place in our specialised laboratory facilities in both Australia
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ranging from transport and production systems to communication solutions and biomedical engineering. The Biomedical Electromagnetic group focuses on developing new, more effective medical methods and
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-throughput computational screening methods for alloy design, experimental alloy production (casting and/or AM), testing and characterisation of the thermo-physical and mechanical properties of the designed
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knowledge of the physical, chemical and material science methods that are relevant to work with biochar and biomass processes is required. You also have experience in the conversion of biomass into chemical
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overview describing the proposed research activities, objectives, methods, and potential outcomes. Proposal of research activities: Should include research questions, objectives, methodology, and
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Histological techniques, such as in situ hybridization and immunohistochemistry Confocal microscopy High-throughput screening approaches Development or optimization of molecular and experimental methods
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. The project will combine cellular and molecular methods with structural studies using cryo-electron tomography. We offer a unique setup for this project in terms of a collaborative environment between six
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models