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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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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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). Contribute to the supervision of thesis and to MD, PhD and MD-PhD thesis committees / juries, as well as doctoral programs. Organize and participate in internal and external seminars, etc. UNIL is committed
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80%-100%, Zurich, fixed-term At Veltist – a Wyss Zurich project – we are reshaping post-operative care through our platform technology Anastoseal, enabling the next generation of implantable
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experience with X-ray methods and imaging Have preferably some additional experience in the biomedical domain and/or in image processing Have preferably some experience using ML models and tools (e.g
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social well-being in areas such as energy systems, transportation, and industrial processes. We are looking for a doctoral student to join our international team and contribute to our research efforts in
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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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, Geneva 95616, Switzerland [map ] Subject Area: Physics / Experimental Particle Physics Appl Deadline: 2025/08/15 11:59PM (posted 2024/09/03) Position Description: Apply Position Description
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-level algorithms on top of existing networks using sonar imaging Testing, analyzing and proposing improvements of the networks and implementing them Make pioneering algorithms for sonar perception ready
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work closely with another PhD student and a post-doc to collectively investigate the failure mechanisms and the generation of high-quality sensor data. Your profile MSc in Materials Science or Mechanical