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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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or senior staff scientist. More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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visibility, in particular mining and construction environments that are characterised by heavy dust, smoke, and fog. Sensing modalities to be used include 4D radar and thermal camera data as well as visual
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thermal camera data as well as visual cameras and lidars. Expanding beyond our previous leading work on odometry, SLAM, and semantic segmentation using 2D and 4D radar data, with this project we wish
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Additional Information Work Location(s) Number of offers available1Company/InstituteLunds universitetCountrySwedenCityLundGeofield Contact City Lund Website https://www.lu.se/vacancies STATUS: EXPIRED X
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or senior staff scientist. More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
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(e.g. odours or visual landmarks). How these cues are sensed and integrated is still poorly understood, especially in nocturnal migratory insects. Work duties The main duties involved in a post-doctoral
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plant responses to applied forces, and fusing interaction-derived signals with visual data for anomaly detection under field-relevant conditions. This postdoctoral scholarship is financed by the KEMPE