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Proficiency in statistical software (R or SAS required; Mplus is an asset) Critical thinking and adaptability in an interdisciplinary environment Ability to work independently and in collaboration within a
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to software tools to deploy developed approaches (10%) • Contribute to other publications, grant proposals, and internal R&D efforts (10%) • Contribute to professional service activities (10%) Minimum
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simulation software, e.g., Wireless Insite, Zemax Proven track record of publications in relevant IEEE journals and conferences The candidates will be considered until the position is filled. To be considered
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state of the art, including scientific literature, tools, models, best practices. Initiative and ability to work independently and collaboratively within a cross-functional team, including software
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within a cross-functional team, including software developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and
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team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
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open-source platform redefining how viral sequence data is shared and governed globally, powered by the modular, federated backend database software Loculus This is a computational position focused on
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priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant
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of software and hardware techniques to explore three areas of interest: (1) real-time quality control of manufacturing processes; (2) understanding correlations between manufacturing intent, machine behavior
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-related experiments in EPPL. Assist in the preparation of research publications and technical reports. Contribute to the development of software and hardware systems for real-time control applications