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Field
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optional skills and qualifications: Previous research experience, particularly in the fields of Internet of Things security and machine learning model security applied to intrusion detection. Contracting
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experience in the fields of HRI, robotics, computer vision, or machine learning. Programming skills. Contracting requirements: Presentation of the academic qualifications and/or diplomas, if applicable
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Engineering, Biomedical Engineering, Information Systems, Artificial Intelligence or related areas that demonstrate a solid computational base; Candidates enrolled in a non-degree course: Candidates who exceed
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
data sharing (preferred); good knowledge of machine learning algorithms; proficiency in high-level programming languages (e.g., C++, Python, C#, etc.) (preferred); knowledge of database formulation and
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23 Oct 2025 Job Information Organisation/Company Universidade de Coimbra Department SGRH - DRGC Research Field Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country
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Researcher (R2) Positions PhD Positions Country Portugal Application Deadline 5 Dec 2025 - 23:59 (Europe/Lisbon) Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 24 Oct
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Operations & Technology Knowledge Center, with the following conditions: MAIN FIELD:………..…………………………………………………………………………………………… Management, with particular focus on the intersection of: Machine Learning Causal
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of these areas:a. Data Science (Python)b. Machine Learning (Python)c. Remote Sensingd. Internet of Things (Hardware, Node-red, JavaScript)e. Satellite Image Processingf. R&D and scientific
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Researcher (R3) Positions PhD Positions Country Portugal Application Deadline 26 Dec 2026 - 23:59 (Europe/Lisbon) Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 12 Nov
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: Have demonstrable experience in the use of machine learning algorithms applied to engineering phenomena, especially in the areas of structural engineering; Have applied knowledge in the finite element