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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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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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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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of analysing data using both qualitative and quantitative methods are desired. Applicants are expected to understand certain qualitative and statistical software (e.g. NVivo, SPSS, Stata). Experience with data
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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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shape its scientific direction. You will receive close mentorship, broad technical training and opportunities to build an international research network. The Department provides a vibrant and
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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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in complex biological networks e.g. food webs, forming the foundation of natural ecosystems. Yet, we lack the tools to predict how these networks change in time and space. This is especially critical
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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
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well as to broader audiences beyond academia. As part of their research training, PhD students should develop a clear and well-defined research profile that demonstrates academic maturity and the ability