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practical parameterizations of identified distortions that can be used to model and correct for their effects on the data. Finally, the project will develop PSV master curves for Kerguelen and South Georgia
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Vision–Language–Action (VLA) models for tabletop and mobile manipulation. A key focus is leveraging whole-body, humanoid-style motion to improve perception and control, enabling robots to solve complex
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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generation, batteries, as well as heavy metal removal from aqueous solutions. By designing well controlled model systems in combination with powerful analysis and characterization techniques, improved
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data visualisation, for example work with regression models or GLM‑based analyses. Experience with research on dog behaviour and with carrying out behavioural tests is considered an asset. You must have
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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companies' transitions towards a sustainable society. In research and education, we work in a broad spectrum. From basic mechanical engineering via modelling and simulation towards innovative product-service
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AI-driven analyses, and patient-oriented research, WHOLE aims to generate new knowledge, diagnostic innovations, and more equitable models of care in close collaboration with patients and healthcare
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studies of human tissue and several in-vitro models. The group has for many years been at the forefront of the field and has established collaborations with several international research groups. The group
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properties, and will be modelled after an assessment methodology developed by the USGS. Special focus will be put on REE in the project. Using these results, the postdoctoral researcher will carry out a