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associated with the position. The job offer concerns employment in the position of research assistant professor (post-doc) to carry out scientific research at the Institute of Automatic Control https
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materials for quantum sensing applications, such as NV centers formed within diamonds. Specifically, spin characterization of color centers by electron spin resonance method, crystal processing to control
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The ability to properly report, organize and publish research data A strong publication record Good command in spoken and written English ADDITIONAL SKILLS Knowledge of modelling software (like COMSOL or ANSYS
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements PhD degree in machine learning, automatic control, system identification, signal processing
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for autonomous vehicle control and teleoperation applications. Expertise in the areas of vehicle dynamics, vehicle control, localization, computer vision, sensor fusion and estimation algorithms is desired
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laboratory documentation (e.g., controlled substances and safety). Prepare for and participate in laboratory inspections that occur throughout the year. Qualifications Required Qualifications PhD in cell
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network (based on U-net, e.g. similar to MitoNet that we used before on FAST-EM data) to automatically segment organelles from FAST-EM imaging data, with a focus on WPBs, endolysosomal compartments and
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-throughput screening of aphid resistance in plants both in controlled and field conditions. This tool will be used to screen for aphid resistance in a pea germplasm collection by characterizing aphid-traits
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-controlled observations and a solid understanding of the literature • Sufficient previous experience with rodent work to ensure successful and appropriate use of animals, including stereotaxic injections and
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
-throughput screening of aphid resistance in plants both in controlled and field conditions. This tool will be used to screen for aphid resistance in a pea germplasm collection by characterizing aphid-traits