34 phd-sandwitch-in-architecture-and-built-environment Postdoctoral positions at Aarhus University
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computational humanities audiences. Qualifications Applicants should: Hold a PhD or equivalent qualifications in computational history, computational archaeology, computational social science, cultural evolution
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interdisciplinary research environments with high international impact. We perform world-class research, which contributes with solutions to solve essential societal challenges within the green transition: food
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internationally within your field of research. Dissemination of your research to the outside world through scientific publications. Your profile Applicants should hold a PhD in chemistry/physics/materials science
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involvement in behavioural phenotyping or in vivo imaging. Your job responsibilities You will be part of a supportive and collaborative environment and are expected to: Design and execute in vivo experiments
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like to work with a highly engaged and motivated staff in a dynamic working environment. The position is available from 1 October, 2025. The position The position is offered for a 2-year period of
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Are you interested in applying your knowledge in glycobiology to address key microbiological questions and solving major societal and environment challenges? Do you have a background in glycobiology
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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collaboration project for developing scalable AI-driven solutions for groundwater resource management in data-scarce environments. If you're driven by impactful science, excited by AI applications, and eager
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employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. You can read more about the department here and about the faculty here . The project is based
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, interdisciplinary environment. You will play a key role in advancing groundwater modelling frameworks that support the siting, implementation, and evaluation of interventions aimed at enhancing recharge and improving