21 machine-learning "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Geesthacht" uni jobs in Malta
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intelligence and computer vision methodologies to optimise urban cleansing and maintenance operations. The project encompasses the development of machine learning algorithms and computer vision techniques
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Projects (LIFE IP) Programme And any other projects undertaken by the Department of Communications and Computer Engineering, Faculty of Information and Communication Technology Applications are invited for a
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https://www.um.edu.mt/hrmd/workatum-projects by not later than Monday, 13th April 2026. Late applications will not be considered. Further information may be obtained from http://www.um.edu.mt/hrmd
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certificates (certificates should be submitted in English) and contact details of at least two referees through this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Monday, 13th April 2026
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two referees through this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Monday, 13th April 2026. Late applications will not be considered. Further information may be obtained from
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of at least two referees through this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Monday, 13th April 2026. Late applications will not be considered. Further information may be obtained
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(including a publication list if available), certificates (certificates should be submitted in English) and contact details of at least two referees through this form https://www.um.edu.mt/hrmd/workatum
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this position, curriculum vitae (including a publication list if available), certificates (certificates should be submitted in English) and contact details of at least two referees through this form https
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certificates (certificates should be submitted in English) and references of two referees through this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Thursday, 12th March 2025. Late
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of at least two referees through this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Monday, 2nd March 2026. Late applications will not be considered. Further information may be obtained