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Field
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Requirements: PhD in geophysics, geology, geomatics, geodesy, geomatics, electrical engineering, computer science, natural hazards, or a related field Demonstrated skills in remote sensing, image processing
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, inserted in measure RE-C05-i08 of the Recovery and Resilience Program, through the Foundation for Science and Technology - FCT, under the following conditions: Scientific Area: Education, Teaching of History
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Application Deadline 13 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Position for a Medical
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Engineering field in computer science, or related field. Strong expertise in natural language processing (NLP) and large language models (LLM) Over 1-year research experience in the above required areas
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Research Framework Programme? Other EU programme Reference Number IPN/LIS/2025/CON37 Is the Job related to staff position within a Research Infrastructure? No Offer Description Laboratory for Informatics and
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Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PUBLIC NOTICE/0110
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requirements Candidates must hold a master's degree or integrated master’s degree in marine biology or related fields. Additionally, they must be enrolled in a doctoral program or in a non-degree course
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successful, support to build the portfolio towards a new Interdisciplinary Research Programme in tidal and other ocean energy resources. The Research Assistant / Research Fellow is to assist the ERI@N Program
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Intelligence, Artificial Intelligence / NLP, Management Science & Engineering; Excellent oral and written communication skills in English, including the ability to communicate with clarity on complex information