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) and clouds You will develop novel methods and analysis tools for in-situ aerosol and cloud data using state-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the
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better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: We are looking for a highly motivated and hardworking Prae Doc (PhD student) for 4
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medical image processing Fluent in English (written and spoken); German is desirable but not required What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid (upon
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network under the direction of Prof. Dr. Annie Waldherr and Prof. Hajo Boomgaarden, PhD. The aim of the CCL is to improve our understanding of the causes, processes and effects of mediated communication