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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning
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hearing loss. However, current neural devices are large, complex, and invasive, and are therefore used by only a fraction of people who could benefit from them. The goal of NANeurO is to design new
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. The IGNYTe project addresses the currently unresolved challenge of creating an efficient ultraviolet (UV) light source that can suppress spurious nonlinearities in direct drive fusion target compression. As
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will work with PhD students and a fellow postdoc. You will also become an integral part of the Multiscale Cloud Physics Group currently being established by Dr Franziska Glassmeier at the Max Planck
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Physics Group currently being established by Dr Franziska Glassmeier at the Max Planck Institute for Meteorology. YOUR PROFILE We are looking for a curiosity-driven and conceptually-minded candidate who
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supported by an external team of deep-learning experts. You will also become an integral part of the Multiscale Cloud Physics Group currently being established by Dr Franziska Glassmeier at the Max Planck
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
approaches for sustainability, new concepts for security and solutions for current latencies in communication networks. Find out more about the project under https://6g-life.de/ About us: At the Chair
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, depending on the geographical and economic context. It will include a deep dive on the potential of Ukraine to become a green hydrogen hub, leveraging geo-spatial energy models run by project partners. As
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. Together with a total of eleven postdoctoral researchers, you will actively participate in the scientific-academic discourse on current research and development issues in the field of green hydrogen. You are
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will develop into acute or chronic infection. Your expertise - PhD in life sciences, preferably (liver) immunology and/or viral hepatitis. - Experience in high-dimensional flow cytometry for phenotyping