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https://www.uidaho.edu/human-resources/careers/applicant-resources Background Check Statement Applicants who are selected as final possible candidates must be able to pass a criminal background check. EEO
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outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Desirable experience (in ranked order): • Research in
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, develops and deteriorates with age, and how these processes can be understood, modeled, and ultimately reversed or rebuilt using bioengineering and synthetic biology approaches. The successful candidate will
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 21 days ago
connected to phylogenetic software, methods and models, molecular evolution, hybridisation and introgression, and the evolutionary histories of eucalypts, viruses, bacteria, and Archaea. The ANU Phylogenomics
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Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group
, 2026 Location: Atlanta, GA Background Check The candidate of choice will be required to pass a pre-employment background screening. https://policylibrary.gatech.edu/employment/pre-employment-screening
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more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be
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models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt
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behavioral techniques Biyu Jade He - awareness and conscious/unconscious processing using EEG, MEG and MRI David Heeger = computational models of visual processing Roozbeh Kiani - visually based decision
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H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with
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or predictive modelling, edge AI, AI for biomaterials formulation, processing and manufacturing optimization. Wearable devices – wearable physiological sensors, smart textiles, soft robotics, and exoskeletons