528 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" PhD research jobs
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that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
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information services Educational sciences » Learning studies Educational sciences » Research methodology Information science » Information management Information science » Library science Information
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in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant
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, chronic illness, nationality, ethnic origin or race, religion or political beliefs. Website for additional job details https://www.novaidfct.pt/content/NOVAID268.EDI.0.pdf Work Location(s) Number of offers
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should hold a Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Data Science, or a closely related field Solid background in machine learning and natural
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of Unix systems (GNU Linux) and keen to gain hands-on experience in Networks and systems Machine Learning knowledge is a plus Strong analytical and programming skills are required (Python, Matlab, Golang
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found on the website: https://hrs4r.agh.edu.pl/ The recruitment procedure is divided into two stages: formal assessment – assessment of the completeness of the application documents and compliance with
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associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated
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on the recognition of academic degrees may be obtained at: https://www.dges.gov.pt/en/pagina/degree-anddiploma-recognition Proof of enrolment in a third-cycle study programme or non-degree awarding course must be
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models with drone imagery using machine learning techniques and data assimilation. The work will involve collaboration with an interdisciplinary team of researchers, engineers, and local stakeholders in a