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for the project, especially in conjunction with their well studied genetics and recently developed high-throughput single-cell phenotyping methods based on microfluidics. The output will be generalizable to a much
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Eligibility criteria Numerical analysis and finite element method Solving anisotropic problems Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7340-SOPBAU-024/Default.aspx Work Location
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/InstituteSpecific Research Centre for Numerical Methods in Applied Sciences and EngineeringCountrySpainState/ProvinceBarcelonaCityBarcelonaPostal Code08034StreetJordi Girona, 1-3Geofield Contact State/Province
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of the appointment, providing the first empirical demonstration of the WaveGuard system. In addition to experimental work, the postdoc will contribute to the numerical design and optimization of the metamaterial
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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. Skills: Qualitative research methods in education, particularly conducting and analyzing interviews Ability to write formal papers and present talks at conferences Ability to communicate and network
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of very-high-energy gamma-ray sources, in the context of study of magnetic fields in the Milky Way galaxy and in the intergalactic medium. The work will include development of numerical code for modelling
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of quantum error correction, tensor networks, and/or machine learning. Experience with programming and numerical methods is preferred. Overtime Status Exempt: Not eligible for overtime Appointment Type
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to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start
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-class seminar series. The Center also hosts numerous workshops, conferences, and other academic events that foster collaboration, idea exchange, and visibility, providing an exceptional platform