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programme Reference Number C644914747-00000023 Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 (one) Research Fellowship (BI) for a PhD Student Ref. 1149.5 - 1 BI
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Researcher (R1) Positions PhD Positions Country Poland Application Deadline 30 Sep 2025 - 23:59 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Nov 2025
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Researcher (R1) Positions PhD Positions Country Poland Application Deadline 30 Sep 2025 - 23:59 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Nov 2025
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, including aspects of scalability, performance, and ergonomics; 3. Technical and architectural specification of the system and data acquisition and integration processes; 4. Design and conception of the ground
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 1 month ago
include: Developing an open, scalable, and modular Digital Twin architecture. Enabling accurate, high-resolution forest mapping using advanced sensing techniques. Implementing real-time data processing
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researchers, industry partners, and government agencies to translate findings into practical applications. Job Requirements Qualifications and Skills • PhD in Architecture or Mechanical Engineering, Building
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operation. Develop modular architectures for multi-agent coordination, sensing, and communication. Integrate sensor suites, flight controllers, and swarm coordination algorithms into UAV platforms. Conduct
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they are developing Required Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience
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17 Sep 2025 Job Information Organisation/Company Silesian University of Technology Research Field Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and