17 affective-computing-emotion Postdoctoral positions at University of Southern Denmark
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power electronics, and self
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. The environmental medicine group study the impact of early life exposures to environmental chemicals. In particular per- and polyfluoroalkyl substances (PFAS) is a main focus area, with studies of the adverse health
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research areas. Profile and requirements You have a PhD degree in Software Engineering, Computer Science, Cybersecurity, or a related field. You have experience in publishing research in high-impact
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the effectiveness of the digital nudging approaches and publishing the findings in high-impact venues. Moreover, the postdoc will actively support the management of SDU-led work packages, including coordinating
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this project, the candidate will develop new computational strategies to identify human genetic variation linked to cell fate changes in neurodevelopmental disorders and cancer. The candidate can use and combine
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genomics, bioinformatics, and biomedicine. Contribute to the publication of research findings in high-impact journals. Gain hands-on training in cutting-edge and multidisciplinary research. Required
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skin affected by Cutaneous Lupus Erythematosus (CLE). CLE is a challenging autoimmune disease characterized by inflammatory skin lesions triggered by complex interactions between immune cells and skin
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perception. Cilia dysfunctions result in rare human diseases known as ciliopathies that affects multiple organs leading to clinical manifestations such as blindness, deafness, obesity, mental retardation
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection