170 gender-studies-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Denmark
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme
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of the Built Environment, Faculty of Engineering and Science, Aalborg University (Copenhagen) within the general study programme Civil Engineering. The stipend is open for appointment from October 1st, 2026
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closest collaborator in many parts of the project. Together, the team is not uniform, and that is exactly the point. No single discipline can solve this problem. Who you are You likely have a background in
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chromatin architecture and transcriptional regulation Studying cohesin dynamics and interactions with adipogenic transcription factors Generating and analyzing genome-wide and imaging-based datasets
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for the world Aalborg University is an international workplace with more than 3,700 employees. We offer real-world-oriented education and create world-class research results through collaboration between
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. In addition, you will be expected to contribute to funding applications within your subject area and to actively support the research environment within your research group, the department, and the
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December 2029. Appointment will be subject to receipt of a security clearance. Your application Please send an electronic application with attachment. Please include: Curriculum vitae, including a short
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. During the PhD studies, you will also be expected to perform teaching tasks – e.g. lecturing or project supervision – at the Department of Mathematical Sciences. Your competencies Based on the research
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including supervision of PhD students. Competences and experience from teaching at different levels includes tests/exams, course/study programme management as well as contributions to the development
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Single-cell and spatial proteomics Phosphoproteomics and protein interaction studies Developing and applying computational methods for functional interpretation of proteomics data, in combination with your