15 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" scholarships at Instituto de Telecomunicações in Portugal
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compression, event-based or neuromorphic vision, signal processing, machine learning or deep learning for visual data. - Motivation for research and scientific dissemination. - Good communication skills in
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and signature matching based on existing code. - Performance evaluation of the application on a Raspberry Pi (RPi). - Development of improvements to machine learning algorithms for anomaly detection and
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-degree course, must be submitted by the time of contract signing. Apply online clicking on the “Apply Now” button in this form https://www.it.pt/Positions/OtherResearchPosition/8278 After the notification
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reference. The student will focus primarily on the photonic integration of machine learning methods, contributing equally to the development of ML algorithms in this context. Their work will include
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in this form https://www.it.pt/Positions/OtherResearchPosition/8288 After the notification of the results, candidates have 10 working days if they wish to contest the decision. E-mail submissions will
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on the “Apply Now” button in this form https://www.it.pt/Positions/OtherResearchPosition/8282 After the notification of the results, candidates have 10 working days if they wish to contest the decision. E-mail
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or in a non-degree course, must be submitted by the time of contract signing. Apply online clicking on the “Apply Now” button in this form https://www.it.pt/Positions/OtherResearchPosition/8277 After
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of this project for a one-year period (100% full-time commitment) to make a significant contribution to the implementation of machine learning (ML) algorithms. The postdoc is expected to have proven experience in
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of the candidatures. Further information at https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition Where to apply Website https://www.it.pt/ Requirements Research FieldEngineering » Electronic
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the European Research Council - ERC COG 101088763. The work for this position is in the area of Machine Learning and Natural Language Processing. We are offering We offer a challenging position with the