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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
at different spatial scales (from plot level to regional level). These indicators are derived using different sensors (field spectrometer, drone with hyperspectral sensor, and satellite imagery) that can be a
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for a highly motivated doctoral researcher to develop multi-modal AI systems that integrate different data, such as field sensors, weather data, drones (RGB, multispectral, thermal), robotic platforms
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of compact and robust diode laser modules for quantum technology applications, including quantum computers and space-based quantum sensors. For these research activities, we are looking for a Scientific
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data define data and publication formats developing matching algorithms for simulated vs. observed data supporting proposal writing to secure future project funding Requirements: sound communication and
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., sensor, field) coordinate and document data flows between citizen-science platforms, AI processing pipelines, and institutional or external repositories to ensure data integrity and traceability implement
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in cooperation with scientists and stakeholders. Ecological monitoring is carried out through integrated recording of soil, crops, and landscape characteristics using multiple sensors, mobile measuring
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multi-sensors and/or other field instruments. Proficiency in data handling, statistics, computing and/or programming (using e.g. R, Python, etc.). Highly motivated team-worker, with an independent and
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the framework of de.NBI and ELIXIR Your profile: You hold a university PhD in bioinformatics, computer science or a related discipline experience in algorithms, software engineering and statistics You are able