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thinking, and has a strong background in cognitive/computational neuroscience or related fields. Relevant areas of expertise include neuroimaging (fMRI), behavioural testing, and computational modelling
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priority is maturing infrastructure and operating models to support NIST 800-171 compliance, including identity and role-based access management, physical and logical access controls, secure facilities and
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90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model
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Position overview We are seeking applicants for an 18-months postdoctoral fellowship focusing on the development of an AI-based phenotyping system for high-throughput screening for aphid
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grant that focuses on modeling spatio-temporal medical image analysis with a particular focus on learning from limited labelled data. Here you will be a part of the UiT Machine Learning Group and will
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combining multi-layer molecular characterization of Barbadian patients and healthy controls with AI-driven modeling, the project aims to construct a population-specific digital African twin to enable refined
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developed the SPARCED pipeline to convert structured lists of species, parameters, and reaction types into an SBML (Systems Biology Markup Language) model file, and we created a model based on one
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interns, modeling safe and professional art-handling practices. Access & Outreach: Facilitate research inquiries, support image requests/permissions, and provide service to collection stakeholders. Author
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environment. We develop knowledge about resilient and sustainable crop production systems to meet the demands for quantity and quality in terms of food, animal feed and bio-based raw materials in a changing