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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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if there are special grounds, for example, different types of statutory leave of absence. Applicants who are close to finishing a PhD are also encouraged to apply. Further information The position is fully funded by
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in infant data processing and analysis. Present novel discoveries at international conferences
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undergraduate teaching and supervising experience Mōu | Who You Are You should be nearing submission (your PhD must have been awarded before the start of the Fellowship), or within 4 years of your awarded PhD
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of neuromorphic systems for different types of onboard sensing and processing tasks in the space environment. Your research will be guided by your own expert judgement and insight into current trends in AI hardware
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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USD). Project Description Beyond vision few studies have examined the role of light as signals to regulate development and function of different parts of the body. The identification of Opsin3 (Opn3
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different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering