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Postdoc position to support international research and capacity-building projects employing elect...
ground-based transient electromagnetic (TEM) methods. The position is part of a Danish Ministry of Foreign Affairs funded project titled “Scaling Up Electromagnetics Surveys for Large-Scale Hydrogeological
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. We are looking for a highly motivated and ambitious candidate with an interest in quantitative methods, bioinformatics, clinical neuropsychology, and network theory of psychopathology. The candidate
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the Villum Experiment project “Engineering an extracellular vesicles-based transfection method for challenging-to-transfect cells” led by Dr. Weihua Tian. This position offers an exciting opportunity
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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methods. By joining us, you will contribute to cutting-edge experimental research, work in state-of-the-art quantum optics laboratories, and collaborate closely with leading international partners in
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
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to explore new analysis methods using deep learning. Depending on the interest, it is also possible to be involved in the wet lab. Professor Tiwari also leads the Center for Integrated Multiomics in Precision
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management Solid knowledge of statistical methods as applied to sensory testing and consumer research; experience with key software such as XLSTAT, R, SPSS or similar Multivariate data analysis skills (sensory
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(bioRxiv 2025, doi:10.1101/2025.07.05.663284 ) Project focus This project will develop methods to measure local pH and O₂ levels within liver tissue, combining these data with spatially resolved single-cell