200 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Master scholarships
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be duly proven at the time of hiring. 2; 3. Preferred requirements: Experience using Machine Learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating
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vision based object detection tools, and reinforcement learning techniques. Additional Information Benefits Monthly Maintenance Allowance: €1,309.64 Funding Entity: Instituto Superior Técnico (IST
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of methodologies and machine learning algorithms for the detection of anomalous behaviors in flow rate
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@ess.ipp.pt ; Website: https://www.ess.ipp.pt/ DURATION AND WORK REGIME Scholarship contract for 12 months, eventually renewable until the duration of the project, on an exclusive basis, in accordance with
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: Environment Engineering, or similar. Where to apply Website https://www.ipc.pt/bupc/concursos/form/concursos_bolseiros Requirements Research FieldEnvironmental science » OtherEducation LevelMaster Degree
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, Economics, Management, or related fields. [1] ; Be a student enrolled in a doctoral program in Computer Engineering or Computer Science - a requirement to be duly proven at the time of hiring. 2; 3. Preferred
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at: https://dre.pt/application/conteudo/127238533 ; and in accordance with the consolidated version with the changes resulting from the update, approved on December 10, 2025 by the Board of Directors
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- 072 Contacts: Phone +351 222061000; Email: geral@ess.ipp.pt ; Website: https://www.ess.ipp.pt/ DURATION AND WORK REGIME Scholarship contract for 12 months, eventually renewable until the duration
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of computational thinking and didactic knowledge in mathematics among future teachers of the Primary School; Prepare and submit scientific articles. Where to apply Website https://www.ipc.pt/bupc/concursos/form
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to monitoring cracking in concrete bridges and viaducts through computer vision The work is supported by BRISA and will use as case study the viaduct over the Rio de Anços on the A1. Duration: 6 months Maximum