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Project Overview Abstract: This project will focus on robotic underwater visual inspections and water sample collection in lake-spawning charr habitats in Lake Windermere. Currently, there are two
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their own vehicle and find their own housing for the duration of the position. QUALIFICATIONS Knowledge of computer programming language(s) for data analysis and visualization Knowledge of spreadsheet
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welfare are monitored on farms. However, many current monitoring systems rely primarily on visual or activity-based sensors, meaning important behavioural and physiological signals may be missed. Sound
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visual representation Excellent written and verbal communication skills Desirable skills and experience: Knowledge of tenement architecture in at least one case study city, or strong familiarity with
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for optimally deploying wind-sail propulsion according to weather conditions The project will develop, prototype, and evaluate visual and interaction concepts that make AI advice actionable
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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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, including AI-based tools or agents, to process large bioinformatics datasets and generate high-quality data visualization charts. 10. Selection Panel: The selection panel consists of: 1 - Doctor Maoxiao Peng
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training design. It moves beyond the current standard of visual-dominant VR to a multisensory approach that respects the physicality of surgical practice, enabled by an interdisciplinary team combining
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in their tissue context Development, optimization, and application of bioinformatic pipelines for data integration, analysis, and visualization of complex datasets Computational modeling of gene
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/faculties/research-centers/zfbk/career_services/ Support for international students and doctoral candidates Welcome event Cultural and linguistic preparation Visa matters Help with finding accommodation