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with experimental techniques including current meters, pressure sensors, and GPS surveying. Proficiency in computational methods include large-scale and high resolution hydrodynamic models. Experience
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Exploration - Source localization 2. Perception in sensor-degraded environments: - Localization in smoke and dust filled environments - Scene awareness - Biometric/triage evaluations, etc. 3. Mission-specific
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., food processing, bioconversion and fermentation processes) Self-supervised learning for multimodal sensor data (e.g., spectroscopy, hyperspectral imaging, 3D point clouds, and other high-dimensional data
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portable dataloggers (or analogous geophysical sensors) and continuous monitoring workflows. Background in UAS/drone mapping. Numerical modeling skills. Familiarity with coastal water-level/wave datasets and
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-based Exploration - Source localization 2. Perception in sensor-degraded environments: - Localization in smoke and dust filled environments - Scene awareness - Biometric/triage evaluations, etc. 3
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from observations, sensors, or eDNA, in combination with environmental drivers, land-use history, and management. Experience with large and heterogeneous datasets is important. The successful candidate
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information: https://tablon.upct.es/anuncio/ YzOPBX R j5N Deadline for submission of applications: March 9. TITLE OF THE POSITION OFFERED: Technician associated with R&D&I activities Group II. SUBJECT AREA
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techniques for analyzing data collected from hardware sensors installed on electrospindles and the development of models for calculating the spindle’s remaining useful life. The contractor will explore topics
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official guidelines in the link provided: https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/wp-call/2023-2024/wp-2-msca-actions_horizon-2023-2024_en.pdf ). The final gross
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integrated hardware systems. Experience in integrating camera modules and sensors (I2C, SPI, UART) is advantageous, as is knowledge of microfluidic automation, including actuators like pumps, valves, and