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learning, and digital imaging, image recognition is an advantage. Knowledge in diagnostic research and analytical skills are desired. The successful candidate is expected to contribute to academic teaching
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evaluation protocols for prototype materials and early manufacturing. Collaborate across functions (quality, regulatory, clinical, engineering) to drive materials integration into functional medical devices
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expertise on optimizing codes and HPC workloads, conduct scaling analyses by means of performance / profiling tools, identify bottlenecks and develop strategies for optimization. You will inspect codes
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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will work on the extension of our global atmospheric Se cycling model, integrated into the global modeling system ICON-ART (ICOsahedral Nonhydrostatic – Aerosols and Reactive Trace gases), from total Se
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and associated image analysis methods Experience with transwell-based barrier models and biology is a strong advantage, and basic knowledge of microbiological techniques, including bacterial cultures
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acquisitions) and exploring various imaging modes, including polarimetry, interferometry, and tomography. Numerous snow and glacier test sites are available worldwide for these topics, providing valuable ground
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eukaryotes, bacteriophages). The Department has excellent experimental facilities and access to the latest light microscopy imaging (CIF ), cryo-electron microscopy technologies (DCI and EMF ), genomics (GTF
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generation and high-speed signal modulation. The project aims to develop quantum communication units on the LNOI platform, including qubit generation, transmission, measurement and drivers as a first prototype
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errors Confident working with analytics dashboards, tracking tools, and reporting key metrics (Google Analytics, basic SEO, UTM tagging) Comfortable with custom code integrations or working alongside