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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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decomposed into modular sub-components that can be either process-based models and/or deep learning models. MCL has the flexibility to replace any uncertain process description with a deep learning model
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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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recruitment process, don’t hesitate to contact HR supporter Astrid Valdgård Schmidt via e-mail: avs@au.dk . Place of work Department of Political Science, Bartholins Allé 7, DK - 8000 Aarhus C Application
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For further information, please contact: Professor, Kasper Røjkjær Andersen, kra@mbg.au.dk. Application procedure Shortlisting is used. This means that after the deadline for applications – and with
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Rasmus Bak Stephansen, e-mail: rasmus.stephansen@qgg.au.dk, mobile: +45 61764959. Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance
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no later than 19th April 2026. Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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that addresses these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University