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computational approaches to chart and understand the gene regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational
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learning–based), advanced mesh generation techniques for simulation, and experience with biomedical simulation, both virtual and physical. Experience with laboratory and clinical validation of models is
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Institute, University of Copenhagen. The position is part of the Quantum Optoelectronics group , led by Assoc. Prof. Leonardo Midolo, and the Center for Hybrid Quantum Networks (Hy-Q) headed by Prof. Anders
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to advanced analytical infrastructure and unique experimental setups Opportunities for international collaboration within the Nordic research network A dynamic and informal working environment Terms
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-driven algorithms (e.g., neural networks, reinforcement learning) for the creation of surrogate models and the autonomous optimization of high-dimensional design spaces. Experience simulating hybrid
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of neuronal function and neuronal network activity in complex mixed neuronal cultures through multi-electrode array (MEA) analysis, calcium imaging, analysis of neurotransmitter release and automated
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. Close collaboration with senior researchers and opportunities to build an international network. Generous funding for conference participation and other academic activities. A stimulating, international
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, such that the candidate can develop their international network and research expertise. Duties and Qualifications The chosen candidate will be responsible for: Individual research and writing on the topic of climate