81 professor-computer "https:" "https:" "https:" "https:" "https:" "Dr" "University of Aberdeen" Postdoctoral positions at Aarhus University
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research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
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, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently-funded EPSRC Programme grant, undertaking research into nanotheranostics, support
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advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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research, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive
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lead the image processing and computational analysis efforts, developing robust methods to register, segment, and analyse spectral micro-CT data, and — where relevant — advance reconstruction and
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, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research
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About the Role You will drive the development of optical instrumentation that will accelerate the way printed perovskite photovoltaics are analysed and developed. You will design, build, and validate an automated system for in-situ and high‑throughput characterisation. Your work will enable...
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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topics. High-level experience with software environments for statistical computing, preferably ”R”. Commitment to open and reproducible research practices An inquisitive mindset and an enthusiastic