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and the Computational Systems Biology team is dynamic, collaborative, and highly interdisciplinary. The team is based at the Laboratory of Pathogens and Host Immunity (LPHI), which is affiliated with
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- Mobile or maritime robotics, automation, or autonomous systems. - Dynamic modeling and physical simulation. - Trajectory planning, navigation, or robot control. - Interest in multi-agent systems and human
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dynamic systems, control engineering, and applied mathematics? Do you want to develop cutting-edge control algorithms for the security and resilience of cyber-physical systems? We welcome you to apply for a
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with CRESCO Centre for Embryology and Healthy Development. Early embryogenesis is a critical stage in which gene regulation, collective cell dynamics and mechanical forces interact to drive blastocyst
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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/Qualifications Previous experience in the analysis and simulation of stochastic processes and stochastic differential equation systems. Previous experience with population dynamics models in ecology. Additional
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Organization National Aeronautics and Space Administration (NASA) Reference Code 0102-NPP-NOV26-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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. Ongoing work is expanding these approaches to psychiatric populations, enabling the study of how brain network dynamics relate to emerging symptoms and functional outcomes. The scholar will join a highly
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Are you ready to bring your skills to a world-class healthcare organization recognized ten years in a row on the "Best Hospitals" Honor Roll by U.S. News & World Report? Do you have a passion for the
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 23 days ago
Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Institute of Fluid Dynamics conducts both fundamental and applied research in the fields