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PhD candidates and researchers who work on enabling technologies (e.g., AI-based information conversion technology such as automated image/audio description). You will investigate the needs and wishes
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100%, starting January 2026 (negotiable) Proteins must fold correctly to function, and this process is tightly regulated by a network of chaperone proteins. At the heart of this network is Hsp90, a
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Ecole Polytechnique Federale de Lausanne, Unsteady Flow Diagnostics Laboratory Position ID: Ecole Polytechnique Federale de Lausanne -Unsteady Flow Diagnostics Laboratory -PHD [#30284] Position
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self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or
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workshops. What You’ll Do: Design, plan and perform method optimization experiments independently Perform data analysis and interpretation, in particular image processing and analysis Present research reports
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, Education, qualifications and experience PhD in a relevant field such as plant sciences, computational biology, or bioengineering with a focus on image analysis. Proven experience with image processing
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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Job Advertisement 2025-06 23.07.2025 At the Leibniz Institute of Atmospheric Physics (IAP), a full-time position (40h/week) in the Department “Modelling of Atmospheric Processes” is available as
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remaining barriers to commercialisation by manufacturing and operating a containerised system with increased power and capacity (10 kW, 20 kWh) in Nepal. Prototype performance will be characterised under real