33 biomedical-signal-processing Postdoctoral positions at Aarhus University in Denmark
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product, aiming to create a safe and trusting research environment in which all of its members can thrive As much independence and authority over one’s tasks, timelines and processes as the comparative
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. Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment committee if necessary
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no later than 11 August 2025. 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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( lis.w.de.jonge@agro.au.dk ) or Head of the Soil Physics and Hydropedology Section, Professor Mogens Humlekrog Greve ( greve@agro.au.dk ). Application procedure Shortlisting is used. This means that after
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Humlekrog Greve ( greve@agro.au.dk ) or Professor Lis Wollesen de Jonge Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from
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, abbiati@cae.au.dk . Deadline Applications must be received no later than 9 June 2025. Application procedure Shortlisting is used. This means that after the deadline for applications – and with
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Morten Graversgaard (morten.graversgaard@agro.au.dk ) Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee
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or the operation of bioelectrochemical reactors. Previous research experience with determining microbial gas consumption rates and fitting kinetic parameter parameters Good publication track-record
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approaches—combining additive (MIG welding-based) and subtractive (CNC machining) processes—for the refurbishment of industrial components. The postdoc will focus on characterizing material interfaces and
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Natural Language Processing, Machine Learning, or a similar area. Expertise in large language model architectures and training paradigms (transformer models, fine-tuning strategies, RLHF, etc.). Interest in