30 assistant-professor-and-human-computing Postdoctoral positions at Aarhus University
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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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will use the GenomeDK (genome.au.dk) computational infrastructure to analyse and integrate datasets into a systems medicine pipeline. Co-expression networks will be mapped to the human protein-protein
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The research project Locally Crafted Empires: Intersecting identities under Imperial rule in Western Asia as expressed in local portrait cultures (1st c. BCE-5th c. CE) (LoCiS) headed by Professor
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. In order to be assessed as qualified for a Postdoc position, you must meet these academic criteria . Principal supervisor Professor Henrik Toft Sørensen, MD, PhD, DMSc, DSc, Department of Clinical
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and 2005 and utilising various methods from history, digital humanities, and cultural studies. The position is 2,5 years (30 months). The position is based at the Department of History and Classical
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The place of work is Aarhus University, Campus Ole Worms Alle 3, 8000, Aarhus C. The affiliation will be with Land-CRAFT, Department of Agroecology. More information can be obtained from Assistant Professor
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with the Department of Agroecology. Contact information More information can be obtained from contact to Associate Professor Martin Thorsøe ( martinh.thorsoe@agro.au.dk ) and or Assistant Professor
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of supervision at Bachelor’s and Master's degree level. We expect you to have experience with human electrophysiology (i.e. MEG and EEG, in particular hyper scanning), expertise in advanced statistical analysis
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feed processing. For non-Scandinavian candidates an effort to learn to read, write, and speak Danish is a requirement. Contact Further information on the position may be obtained from Professor Jan Værum
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time