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modeling, and translating advanced systems methods into operational tools used by cities, MPOs, and state DOTs. Position Overview The Postdoctoral Associate will lead and support research in
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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-driven modeling. - Familiarity with vortex methods, URANS/LES, or hybrid aerodynamic modeling. - Interest in the integration of modeling into estimation and control frameworks. Offer - Full-time
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At the Technical Faculty of IT and Design, Department of Computer Science, a 2-year Postdoc position in theories for programming semantics, methods for verification and reliability assurance
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with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation Implementing machine learning approaches that preserve physical constraints while handling
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standard software used for FRB or pulsar searches and analysis Practical experience in applying Machine Learning methods to data Experience with computer clusters and HPC Willingness to supervise Masters/PhD
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design or experimental methods and machine learning. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory
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well as access to sequencing facilities, high-end computer clusters, and an imaging and electron microscopy core facility. Research in our group covers diverse invertebrate lineages, with particular strengths in
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systems. Responsibilities include: Integration of advanced sensing technologies with continuum robotic systems and development of associated sensing and estimation algorithms Path planning based on medical
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, including task-based and resting state functional MRI, T1 and T2-weighted structural MRI, and diffusion MRI. The post-doc will parcellate the hippocampus and cerebellum using surface-based methods and the