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If you need help uploading your application or have any questions about the recruitment process, please contact HR supporter Ulla Prisholm Bjørn Tel.: +45 87152179 Email: upb@au.dk. Place of work The place
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in robotics, AI, signal processing, and autonomous systems to join the SonicEye research project, funded by the National Defence Technology Centre (NFC) and conducted in collaboration with leading
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communication, applied AI, or a related field. You have experience with machine learning and signal processing, and preferably knowledge of RF or wireless systems. You can work with experimental data (e.g
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substantial power demands, driven by the processing of vast amounts of data. As part of the ERC project H3PMAG, this project aims to address key challenges in power solutions for future AI demands, focusing
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dynamic metabolic processes within microfluidic systems. Integrate microfluidic platforms with NMR hardware, including fluidics interfacing, probe adaptation, and spectral acquisition optimization. Analyze
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, including: Participate in the design and detailed engineering phases of up-scale microbial electrochemical reactors. Support commissioning, operation and testing of the up-scale microbial electrochemical
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, including: Participate in the design and detailed engineering phases of up-scale microbial electrochemical reactors. Support commissioning, operation and testing of the up-scale microbial electrochemical
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Professor Kjeld Pedersen: kp@mp.aau.dk, phone +4599409220. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You
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will focus on bioinformatic, statistical, and evolutionary analyses of ancient DNA data. Each position is offered for an initial period of two years with the possibility of extension, and is expected
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, mn@agro.au.dk. 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