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to compensate for such aberrations, significantly enhancing image quality. Adaptive requires knowledge of the wavefront to be corrected. Our team has been developing a machine-learning approach to wavefront
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(Wissenschaftszeitvertragsgesetz - WissZeitVG). The position aims at obtaining further academic qualification (usually PhD). Professional assignment: Chair of Knowledge-Aware Artificial Intelligence (Prof. Dr. Simon Razniewski
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the Humanities, Arts and Social Sciences (HASS), is more critical than ever. HASS disciplines offer the tools to understand the human dimensions of environmental and climate change – our values, cultures, politics
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how they can be optimised to improve motor function. The outcomes may have wide-ranging implications for the design of training protocols aimed at improving motor and cognitive function, providing
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, compression, learning, and inference for classical and quantum data. The stipends are within the general study programme Electrical and Electronic Engineering or Wireless Communications, and available from
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knowledge in physical oceanography, climate change, Earth Observation, Big Data and data science as well as machine learning. This is an exciting opportunity to work on an exciting and ambitious project with
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PhD Project in Theoretical High Energy/Mathematical Physics Niels Bohr Institute Faculty of Science University of Copenhagen The Niels Bohr Institute invites applicants for a PhD fellowship in
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The vacancy is within the group of Associate Prof. Dr. Anna Salvati at the Department of Nanomedicine Drug Targeting of the Groningen Research Institute of Pharmacy (GRIP), Faculty of Science and
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Overview Glycosaminoglycans (GAGs) are linear sugars that are displayed on all cells throughout the body as well as in the matrix