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and presentations; and providing technical support and troubleshooting in T cell culture, molecular cloning, and viral production workflows. Profile PhD in bioengineering or related area. Strong
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of traffic management and control strategies in urban and freeway environments. At the same time, data-driven methodologies and machine learning offer new opportunities for optimal traffic management
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providing technical support and troubleshooting in T cell culture, molecular cloning, and viral production workflows. Profile PhD in bioengineering or related area. Strong practical background in primary T
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field A strong background and keen interest in uncertainty quantification, structural reliability, optimization, Bayesian inference, surrogate modeling/emulation, and/or machine learning Excellent
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Excellent programming skills (preferably Matlab, or Python), and some experience in machine learning Strong analytical and problem-solving abilities Excellent communication and scientific writing skills, and
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, future projects will also involve patient cohorts. We are currently seeking a motivated and skilled PhD student to join our team. Project background This project focuses on neuromodulatory systems (and the
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of computational neuroscience. The successful candidate will join a dynamic team at the neural dynamics lab
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, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with the ability to work across frontend, backend, and embedded
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upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
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Technical Proficiency: Familiarity with engineering tools with focus on design automation Experience in programming (e.g. Python) or machine learning and a desire to deepen your expertise Experience in