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) and their relationship with neurobiological markers and clinically relevant outcomes. Your work will be connecting systematic evidence synthesis, data science, longitudinal research and clinical
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interpret experimental and physiological data and contribute to the development of models and predictive approaches for human thermal responses. Communicate scientific results through peer-reviewed
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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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fees plus an annual tax-free stipend of £21,805 for 3 years full-time. The studentship is funded by the Leverhulme Trust and is part of a grant ‘Rethinking Epidemic Models: Integrating Human Behaviour
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Can you help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid
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help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with the principles of the State Employees Act
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Fleming in Vari, Athens, Greece, is seeking expressions of interest from highly motivated researchers with an MSc or PhD in human genomics, statistical genetics, bioinformatics, computational biology or a
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for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
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Project Overview This is an opportunity for a person from an underrepresented group to undertake a fully funded master’s degree followed by a fully funded interdisciplinary PhD research degree under