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DNA/RNA high-throughput sequencing data analysis and image processing. We are looking for candidates that can expand the skills from the Unit towards proteomic and metabolomic data analyses. The Unit
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audiences, policy-makers, industry leaders, civil society partners and the general public. Knowledge of computer applications such as Canva and Wordpress for publishing, image handling, and web production
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investment aligned with our four research centres (https://www.southampton.ac.uk/research/areas/psychology ). Applicants will have expertise in neuroscience/neuropsychological methods (e.g., functional brain
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
characterization of these devices as well as proof-of-concept prototype electronics that will be manufactured in more traditional solid-state processes. As part of this project, you will be expected to work closely
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demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision
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dissections; tissue fixation and sectioning; immunohistochemical staining and immunofluorescent staining; digital fluorescence microscopy; image analysis using software such as ImageJ, QuPath, and analytical
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investment aligned with our four research centres (https://www.southampton.ac.uk/research/areas/psychology ). Applicants will have expertise in neuroscience/neuropsychological methods (e.g., functional brain
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. They will have a good understanding of image standards, rights management, licensing and digital preservation, along with the ability to communicate confidently and effectively with the software vendor and
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to cover vacations, medical leaves, etc. PACS experience as well as proficient computer entry skills. Experience with digital imaging in an inpatient and trauma setting. Familiar with GE C-arms, Medtronic O
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innovation, is a leader in the digital world. We are looking for an Assistant/Associate Professor in multimodal generative AI models for audio to jointhe ADASP/Audio research group which is part of the Signal