841 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" positions in Denmark
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. Key activities include analysis of clinical and patient-reported outcome data, coordination of implementation studies in collaboration with ENT clinics, dissemination of results through peer-reviewed
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University with related departments. Contact information For further information, please contact Prof Kim Daasbjerg at +45 23 48 52 49 or kdaa@chem.au.dk or alternatively Associate Professor Behzad Partoon
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, which is a collaboration between the Department of Business Development and Technology and the Department of Digital Design and Information Studies. The project ‘Practice Resonant AI Ethics for the Public
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computer graphics, or human vision and attention. The posts require research skills in the design of studies, use of methods, research prototyping and data analysis, and you should have documented experience
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. For further information, please contact Professor, dr. scient. et techn. Bo Brummerstedt Iversen (bo@chem.au.dk). Applications including CV, full publication list, references and description of qualifications
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information For further information, please contact: Professor Torben Heick Jensen, thj@mbg.au.dk, phone +45 60202705 Application procedure Shortlisting is used. This means that after the deadline
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information For further information, please contact: Professor Torben Heick Jensen, thj@mbg.au.dk, phone +45 60202705 Application procedure Shortlisting is used. This means that after the deadline
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, timing, power, and sign-off) Hardware accelerator development for deep learning, edge AI, and data-intensive workloads Energy-efficient and high-performance accelerator design Hardware–software co-design
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information For further information, please contact: Assistant Professor Emil Laust Kristoffersen, +45 29271306, emillk@inano.au.dk . Application procedure Shortlisting is used. This means that after
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main areas of work: Exploration of heterogeneity in GDM risk and GDM subtypes and application of these insights to develop a GDM risk prediction model, based on data from The Danish Blood Donor Study