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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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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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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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-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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100%, Zurich, fixed-term The research group for Chemical Biology and Molecular Imaging (Frei Research Group ) at ETH Zurich is looking for a doctoral researcher to develop chemistry inspired tools
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particles, AgI-containing particles). Analyzing in situ data (holographic imagers) and ground-based remote-sensing data (cloud radar) to assess warm cloud susceptibility to aerosol perturbations. Quantifying
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researchers in coding experiments and other projects. Successful candidates will have a basic understanding of the programming paradigm, will be able to debug code with little assistance, be a problem solver
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. Potential research topics include: Use of hyperspectral reflectance for evaluating leaf functional traits. Integration of hyperspectral imaging with genome-wide association studies (GWAS). Detection
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-particle imager, radiosondes, sonic anemometers, flight logbooks of drones and the tethered balloon system) and remote sensing platforms (e.g., cloud radars, ceilometer, microwave radiometer). Organizing and
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, as well as cutting-edge technologies, including 10x Genomics, spatial transcriptomics, and fully automated imaging systems for tissues and cell cultures. This is an excellent opportunity for a