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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 6 days ago
23 Sep 2026 Job Information Organisation/Company Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) Department Human Resources Research Field Medical sciences
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of designing, programming and validating a fully operational virtual-reality object-copying task that is ready for immediate deployment in experimental research along with access to, and experience of operating
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, Universities and Innovation, which recognizes excellence at the highest international level in terms of research, training, human resources, outreach and technology transfer. IBEC’s mission is to develop
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Institute for Neuroscience with Indiana University Bloomington is seeking applications for a Post-Doctoral Appointee. The broad duties and responsibilities of this position include designing, planning
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and water. Working closely with researchers at the University of Liverpool and collaborators at UCL, you will develop, construct and optimise a plasma-liquid reactor based on an existing plasma source
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18 Sep 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Chemistry Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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students and external/internal collaborators to address key engineering challenges and support the technical delivery of the project. Your key responsibilities will be to: Design, model and optimise
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Epidemiology or a related field, with substantial experience in dietary analysis, epidemiologic study design, big data handling, and dietary pattern deduction. They must demonstrate proven expertise in
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working towards a shared goal. You will be responsible for the design and pilot testing of machine learning-based automated ultrasound video analysis models that incorporate temporal reasoning. The research
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echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans. You will be responsible for the design and testing of original machine-learning based methods for fetal heart