33 parallel-processing-bioinformatics Postdoctoral positions at Aarhus University in Denmark
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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
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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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. Processing and analysing imaging datasets using custom scripts in MATLAB and/or Python. Integrating imaging with complementary techniques, such as electrophysiology, optogenetic stimulation, or behavioural
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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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for guidance and formalities regarding the application procedure. Per default, the application system requires upload of • Cover letter – please state your reasons for applying and your relevant
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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