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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1
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We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims
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Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly informative but also pose significant privacy risks. Your work will focus
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will work closely with the faculty members and postdocs that work in related areas. How to apply Your application must include the following: Application, stating reasons for applying and qualifications
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other relevant stakeholders. The PhD student will contribute to the prototype development, feasibility test and evaluation of innovative cross-sectoral pathways and will be involved in data collection
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of novel methods to decompose the heterogeneity of psychiatric disorders, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply
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, deterministic systems. You model them, you optimize them, you operate them. That paradigm is breaking down. As electricity replaces fossil fuels, industrial systems must operate under fundamentally new conditions
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of Sciences (UCAS), integrated into the MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation led by Professor Ying Liu. There is an active group of PhD students and postdocs working
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. Experimental and fieldwork experience: Previous experience with marine platforms, mobile robots, experimental testing, prototype development or field trials is considered an advantage. The candidate should be
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of representative structures and hardware prototype is expected as part of the project. The position is offered in relation to the project “GRACE: Glass for Reliable and Circular Power Electronics” within