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. The Data Section provides a world-class research environment, outstanding working and networking opportunities, and full employment benefits, including a competitive salary. In addition to research
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pharmaceutical data science. Applicants are expected to propose a potential research direction within the overall theme of computational pharmaceutical science. The final project scope will be defined in dialogue
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Ariya Sangwongwanich from AAU Energy. The prospective Ph.D. student will be co-supervised by Associate Professor Hongbo Zhao (AAU Energy) and collaborate with other Ph.D. students and Postdocs in the host
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, among others, experts with backgrounds in physics, chemistry, materials, and computer science. The section comprises four PIs and approximately 25 PhD students and postdocs. Qualifications: • Good
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, CVPR, and ECCV. The successful candidate will join a dynamic research environment at Aarhus University and will be encouraged to contribute to open-source software and interdisciplinary collaborations
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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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software, is highly regarded. Furthermore, an interest or practical experience in additive manufacturing, including design, materials and processes, or testing, would strengthen your application. Finally, a
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fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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refinements using TOPAS or other similar software will be an advantage. Your competencies The following experiences and competencies are expected: Some experience with chemical synthesis. Experience with
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. 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, cyber security