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be to develop wireless sensing and communication methods that are designed together with AI-based inference, rather than treating connectivity as a separate layer. Particular attention will be given
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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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. The project involves the development and modelling of hydraulic systems, with particular emphasis on energy-efficient system architectures and appropriate component selection. A key aspect is to incorporate
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related qualitative methods, the PhD fellow will explore how students experienced, negotiated, and articulated dissatisfaction with schooling. The PhD fellow will contribute to the development
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); contributes to SDC’s master programmes through teaching and guest lectures (Digital Innovation, research methods, computational methods, and case material from the candidate’s own fieldwork); contributes
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levels. A central component of your work will be the collection and analysis of qualitative empirical data. The empirical work will be based on in-depth case studies of firms operating within the Danish
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fibrillation. Your work will involve applying Mendelian randomization and other causal inference methods to uncover potential genetic pathways contributing to disparities in stroke risk. The project combines
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seek a PhD candidate to work on representation learning methods on graphs for modeling static and temporal networks, with applications to ecological systems and beyond. The project will focus
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to advance non-destructive, rapid, and highly sensitive hyperspectral methods for the detection, identification, and characterization of forensic traces, including fire debris, biological stains, fibres
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challenges and should employ appropriate qualitative and/or quantitative methods. The project should demonstrate clear potential to generate internationally recognised research, produce publications in leading