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teaching, mentoring, and supporting learners from various backgrounds. Responsibilities include instructing in classroom, lab, and simulation settings; developing curriculum; advising students; and
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retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary Teaching duties will
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must be sent to sinbelangero@gmail.com , with a copy to pgtunifesp@gmail.com , with the subject line: “Application for PD Fellowship - BHRC - Name + Surname.” Requirements: PhD in health or biological
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. Germanna is seeking to hire a Communications Editor to play a critical role overseeing a college-wide style guide – effectively maintaining the “voice” of the college – and writing persuasive copy to be
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simulation methods to target key performance parameters needed for position, navigation and timing (PNT) applications including detectors for imaging LiDAR. You will develop new process methodologies and
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to accelerate the transfer from simulation to real systems. • Analyzing system performance under realistic turbulence conditions and proposing system-level improvements. • Disseminating results through scientific
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on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The faculty of the South Carolina Institute of Archaeology and Anthropology at the University of South Carolina
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of academic teacher: https://polon.uw.edu.pl/wp-content/uploads/sites/221/2025/04/Kwestionariusz-osoby-kandydujacej-na-stanowisko-nauczyciel-akademickiego-EN.docx Copy of doctoral diploma and, where applicable
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of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 22 days ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project