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, we believe science can achieve its fullest potential. THE ROLE During your internship you will work on a projectin the Cultural Heritage Technologies (https://www.iit.it/it/web/cultural-heritage
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. The researcher’s activities are to develop and validate on a pilot an agent-based generative-AI pipeline for automatically generating reports from the data collected in the data lake, while supporting and
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the Skilled Worker visa rules. For more information on how the Skilled Worker visa rules may apply to you please visit: https://www.gov.uk/skilled-worker-visa Please note that if not already an employee
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for the automatic analysis of vocal and conversational content, with a particular focus on healthcare applications and natural language understanding. The activities will involve the study, design, and validation
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that each reference or dossier service send letters to the following email address as Word documents or PDFs, and they’ll be uploaded automatically to our hiring committee’s files for review: https
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capture system and to elaborate an automatic analysis of times, methods, and ergonomic load of human operators. Activities: development of methodology and writing software for the execution of the analysis
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-based techniques (e.g., deep neural networks) will be used to automatically learn the system dynamics and the modelling errors, as well as to obtain an automatic tuning of the cost parameters/constraints
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live and thrive. To find out more, visit https://www.visitarmidale.com.au/experience Enquiries and additional information To discuss this role please contact Professor Karl Vernes, Head of School
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biotechnology in the areas of mass spectrometry method development and the development of new, bio-based materials. Information about the group can be found at https://koellenspergerlab.univie.ac.at
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Automatic Object and Behaviour Recognition in Video/ Image Sequences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline