501 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD research jobs
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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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. Formalisation of Applications 18.1. Applications must be submitted by 23:59 on 13 March 2026 (Lisbon time). 18.2. Applicants must access and register on the electronic platform https://www.apply.up.pt to submit
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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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science and near-surface geophysical survey. LSGI has a number of well-equipped research and teaching laboratories. Please visit the website at https://www.polyu.edu.hk/lsgi/ for more information about
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days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring environment; an active seminar
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environment in the centre of Prague. Website for additional job details https://www.eu.avcr.cz/cs/aktuality/Romani-Family-in-an-Age-of-War-00001/ Work Location(s) Number of offers available1Company
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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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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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Website https://www.ipolisboa.min-saude.pt/ Street Rua Prof. Lima Basto Postal Code 1099-093 E-Mail Gest.RecursosHumanos@ipolisboa.min-saude.pt STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn