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software and are motivated to develop and apply dynamic models of energy and chemical processes. You are familiar with programming languages and computational tools. Expertise in a particular software
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or more stays at the collaborating partners in Gothenburg of a few weeks to a few months, and close collaboration with both UCPH-based and visiting PhD students and postdocs. Our group and research – and
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capabilities in digital environments. We frequently publish in the leading venues in Human-Computer Interaction and are supported through a strong network of collaborators. Interested applicants are encouraged
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model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
collaborators, providing opportunities to develop a broad scientific network and gain hands-on experience with complementary expertise and facilities. Responsibilities and qualifications As a PhD candidate, you
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can be used as a practical tool to identify and adjust recipes that, for a given machine and processing window, fulfil defined target criteria. Building on existing evidence that Machine Learning can
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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
) and AOP networks. The project will be funded by PARC (EU, Partnership for the Assessment of Risks from Chemicals) and linked to activities in other ongoing projects in the Ecotoxicology group, including
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, where you will present your research to the wider research community and build your professional network. Throughout the project you will work closely with your supervisors and colleagues in the research
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the hiring process. The technical development of the virtual reality set-up is handled by project partners. Your role will be to help design and carry out experiments using AI and VR, define conditions and
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, including postgraduate teacher training a mentoring programme support to develop scientific networks and to secure interdisciplinary research at the highest level As part of the Aarhus University Tenure Track