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unexplored intersection between social cognition, attentional processing, and gaze perception. We use several different methods, including functional magnetic brain imaging (fMRI), behavioral and
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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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, the establishment and optimization of behavioral assays under controlled oxygen conditions, image‑based analyses, and quantitative data processing and interpretation. The role also includes active participation in
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to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog population – including personality types in
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The division boasts extensive experience in fundamental research within computer vision, machine learning
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documented experience in computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine
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assignments Your main tasks will be to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog
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, with scientific areas ranging from fundamental chemistry, health and medical technology, materials science, renewable energy, to chemical engineering processing, material recycling, nuclear chemistry
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relevant. Our group approaches this question from a novel perspective, by studying the role of transposable elements (TEs) in this process. TEs occupy 50% of the human genome and are known to be very strong
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postdoc rules). - Strong experience in in vivo rodent experiments, with competence in at least one of: Stereotaxic surgery and viral/vector delivery, in vivo imaging (miniscope, 2P), optogenetics