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revolutionizing image reconstruction and analysis with state-of-the-art machine learning techniques. Ultimately, we aim to provide personalized diagnosis and therapy for optimal patient outcomes. Job Summary We
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characterisation of diagnostic and therapeutic tracers Tumour imaging, clinical oncology and data analysis Semiconductor detectors, nuclear physics and Monte Carlo simulation Machine learning, deep learning and
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pollution research Skills in a relevant programming language (e.g., R, Python) are essential, ideally including machine/deep learning and natural language processing Practical experience or good familiarity
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. The position is in computer simulations of supermassive black hole disks, funded through a MERAC grant (PI: J. Szulagyi). The desired starting date is as soon as possible, but the latest of Dec 1st 2024. Project
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for machine-learning, particle physics and cosmology and is in close vicinity to the University of Geneva and CERN. The position comes with very competitive salary and benefits. Applicants should submit a
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researcher with expertise in data science and great interest in computational social science and complex systems. The successful candidate will design and implement advanced data science/machine learning
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translate your scientific ideas to tackle the challenges of fast and precise laser processing. Your scientific activities will be carried out in a close collaboration with the specialists in machine learning
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. Applications include sport and health. The candidate is to teach subjects related to biosignal processing. Project background Your research will aim to conceive and design innovative solutions for monitoring
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Establishing reliable databases and a real-time streaming environment for processes to build a data-centric manufacturing ecosystem Empowering intelligent manufacturing by implementing machine learning-based
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relevant and impactful health-monitoring wearable devices, then please apply. The research will be highly collaborative; you should be eager to learn new science and technologies as well as contribute