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University, a dynamic and growing department committed to excellence in research, education, and innovation. Our research spans Internet of things, machine learning, signal processing, to digital twins, all
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hybrid models that integrate limnological knowledge into machine learning models following the paradigm of Knowledge-Guided Machine Learning (KGML). The position is part of an on-going project
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empirical research on periodicals in either (a) Gran Colombia, or (b) Greece in the period between 1815 and 1840. Applicants will be expected to work both with digital archives and in situ. Be fluent in
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or similar. Experience in handling dynamic modelling and control, experimental setup and testing, Digital Twin and Machine Learning Publication experience Collaboration and/or management skills Communication
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. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
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that addresses these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University
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spans signal processing, machine learning, digital twins, and intelligent systems — all with a strong emphasis on real-world impact and societal relevance. This position is anchored within the Signal
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in the Pedersen lab focusses on ion channels and their role in several neuromuscular diseases characterized by abnormal muscle excitability. Experimentally, the work involves electrophysiology, imaging
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this. It is important to develop a detailed picture of the cell types affected by these changes and if possible the temporal sequence in which they occur in order to intervene to restrict cancer progression
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. Our mission is to advance the scientific understanding of turbulence while supporting industrial partners in accelerating the green transition and the digitalization of society in the area of fluids