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. Occupational Summary Dr. Wen is seeking to hire a part-time (20-30 hours) research technician to support the development of an software algorithm for the project “Measuring Ocular Pulse Amplitude with Fixed
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); Computer science foundations (Software Engineering, Algorithms); data science and data analysis (Data Science in the Wild, Causal Inference), or urban computing and design. Candidates for the position should hold a
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carrying out validation experiments of the structures and their query algorithms. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/000463 Requirements Research FieldEngineering
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the project’s deliverables. 2. To perform internationally competitive research in the analysis of transcriptomic and epigenetic data. 3. To provide analytical and statistical expertise, and algorithms for data
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of artificial intelligence and continuous monitoring in bridge engineering" aims to develop an integrated methodology for proactive bridge management, moving from periodic inspections to data-driven maintenance
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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, and training methods - across multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning
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developed involves continuous analysis of the state of the art, the definition and specification of technical and functional requirements, as well as the design of data models, synchronisation algorithms and
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I, Linguistics Posting Number req25319 Department Linguistics Department Website Link https://linguistics.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The University
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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