346 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"Dr" positions in Denmark
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included, primarily in the use of DNA sequencing in microbiology and environmental biotechnology, but also in other study-programs at the University. Your Competencies The successful candidate must have
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environmental biotechnology, but also in other study-programs at the University. Additionally, there will be opportunities to establish and lead your own research activities. Your Competencies The successful
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languages The Department of Sustainability and Planning (PLAN) was established in 1975. Today, we are located in both Aalborg and Copenhagen, by the waterfront. We are a team of over 250 employees, including
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning, a PhD stipend is available within the general study program Development and Planning. The stipend is open for
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Environments within the general study programme Electrical and Electronic Engineering; as per March 1, 2026, or as soon as possible thereafter. The candidate will be based in Aalborg at the Automation and
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in DICOM format and applications in pathology are welcome. The applicant ideally has a track record in interdisciplinary collaborations. Solid experience in programming, mainly python is expected
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to develop an independent and competitive research program. Research areas of particular interest include, but are not limited to: Surface-sensitive vibrational spectroscopy (e.g. sum-frequency generation
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-Anthropology programme at Aalborg University. Your competencies Applicants should have a strong interest in human–robot interaction and collaboration and in the role of emerging technologies in healthcare
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approaches are transforming how next-generation biologics are discovered and engineered. We are launching an ambitious research program centered on AI-driven generative protein design to develop GPCR-targeting
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qualifications include: Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or a related field; Strong background in Deep Learning (e.g., Transformers, foundation models); Strong programming