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the implementation of PT in healthcare: unknown mechanisms of action; lack of clinical gold standards; legal/regulatory obstacles; and ethical/societal challenges. More information can be found on the INTEGRATE home
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on the interests of the candidate, they may also be involved in our ongoing developments of a digital data infrastructure for 2D materials (see 2dhub.org), which would involve high-throughput electronic structure
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use cutting edge machine learning and data mining techniques to gain novel insights and advance our understanding of the rules defining T and B cell immunogenicity. If you are looking for the best
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on these problems, and use cutting edge machine learning and data mining techniques to gain novel insights and advance our understanding of the rules defining T and B cell immunogenicity. If you are looking
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. Consequently, your employment will as of that date be with a department. Contact information For further information, please contact: Assistant Professor Emil Laust Kristoffersen, +45 29271306, emillk
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to data from various sensors and radio signals? This is the main underlying theme to be explored within this postdoctoral position. The appointed researcher will investigate how AI embedded in physical
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Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
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cell biology, protein chemistry and mass spectrometry, molecular microbiology and biophysics. For further information about the position please contact Professor Brage Storstein Andresen, PhD, FRCPath, e
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, they will be required to acquire Danish-language proficiency within approximately two years. The application must be submitted in English. Further information For further information about the position
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
on “Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data