16 wireless-sensor-networks Postdoctoral research jobs at Aarhus University in Denmark
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experience with deep learning frameworks (e.g., PyTorch) Experience in working with time-series data Good understanding of Internet of Things, wireless communication network and systems Strong publication
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc position in optical sensors and spectroelectrochemistry
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. CFA is currently studying how the model influence research-industry collaboration in two programs, Plant2Food and ODIN (Open Innovation Discovery Network) . As part of a small interdisciplinary project
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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for Molecular Medicine - performs basic and translational research in neuroscience and brain disorders. We aim at unravelling the mechanisms that explain cellular communication and computation networks in brain
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international researcher network. The department consists of eight research sections with around 320 highly dedicated employees, of which approximately 50% are scientific staff. More information can be found
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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of eight research sections with
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, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment The place of work is the Department of Biological
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involved in Parkinson’s Disease. This is part of a vibrant multidisciplinary network collaboration headed by Prof. Daniel Otzen, AU, and including collaborators Dr. Simon Glerup (Draupnir and AU), Prof. Mads