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, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently operating additive manufacturing systems (DED and LPBF), including
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into the fundamental laws of nature. Find out more on http://home.cern. We are on a Quest. A Journey into discovery like no other. Bring your expertise to our unique work and develop your knowledge and skills at pace
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well as the driving mechanisms. A large foundational dataset has already been collected, and presents a unique opportunity for making new insights into landslide processes. You will develop advanced algorithms
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making new insights into landslide processes. You will develop advanced algorithms to process this data, with a focus on optical flow and object detection. You will interpret the results to better
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foundation in mathematics, physics, data analysis, and strong programming skills (Python, Matlab, C/C++, or equivalent). Capable / keen to develop and implement SAR signal-processing algorithms in such a
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seismicity and landslides. Application: Scaling up to assess the spatial distribution of long-term hydrological changes across Switzerland. As a final project goal stands the development of a real-time
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cavity measurements. Implement CSI for ultra-low-noise signals in exclusion search measurements. Roll out and commission dedicated SRF LLRF systems. Develop and refine algorithms for CERN QTI use cases
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beam-material interactions Good programming skills (e.g. Python, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently
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100%, Zurich, fixed-term The Forest Resources Management group is seeking a postdoctoral researcher to join the UPSCALE project to develop data fusion algorithms able to quantify forest composition
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20%-100%, Zurich, fixed-term The Institute for Dynamic Systems and Control leverages modeling and control to design algorithms for smart transportation, vehicles and complex systems. We are looking