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applied research to support the sustainable management of freshwater ecosystems. We require a quantitative ecologist with skills/experience in statistical and quantitative modelling. The successful
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the critical need for child-centric safe AI by developing a norm-first Belief-Desire-Intention (BDI) architecture where generative models (LLMs) are constrained by machine-readable child-protection policies
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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
method an option of the Fellow by Wire Transfer/Check. Eligibility criteria Admission Requirements: a) hold a master’s degree in Biomedical Engineering, or related areas; b) be enrolled at the date
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are eager to carry out research on statistical issues related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools
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– BI_2 Portuguese version A call for tenders is now open for the attribution of one Research Scholarship within the scope of the Project “UrbanM2O - Effective Monitoring and Modelling solutions for data
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-Doctoral Researcher The work will entail: The growing demand for critical minerals has highlighted the need for a more diverse and secure supply chain. The traditional linear model of resource extraction
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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difference to health and biomedical research. Main duties and responsibilities You will design and validate AI models across diverse domains, from clinical trials and pharmaceutical research to biomedical
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods