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RNA sequencing). RNA structural probing: Implementing the Nano-DMS-MaP method, developed in the host laboratory, to map the secondary structure of full-length viral RNAs and DVGs at single-nucleotide
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within the ANITI HUCAD project which aims to develop Artificial Intelligence (AI) systems fostering human-machine collaboration for effective deliberations. It aims to enhance the argumentation
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of publications, experience in developing Computer Vision algorithms, experience in collaborating with non-experts (ideally historians), and experience in designing web interfaces. Please send a CV and
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advanced seismic methods (including array processing, machine learning, and potentially distributed acoustic sensing) to develop novel approaches for monitoring unsteady and non-uniform flood flows across
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the Zwicky Transient Facility (ZTF) and develop cosmological analyses with the supernova probe. The successful candidate will devote ~30% of their time to the ZTF group's general efforts to help construct SN
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. Explainable Artificial Intelligence (XAI) has thus emerged to develop methods for explaining AI decisions. However, popular agnostic approaches suffer from major limitations: instability of explanations in
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requiring AI are not necessarily permanently connected to the grid. The need to develop an energy-efficient hardware for the implantation of AI in nomadic systems is becoming increasingly urgent. Major