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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
research group at Faculty of Medicine and MultiPark at Lund University. Our research aims to uncover how microglia dynamically modulate neural circuits to shape memory formation and extinction across health
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. These positions will broadly be working on research related to the dynamic relationships amongst stress, emotion, behavior, and health in daily life, and the development of interventions to enhance outcomes
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, subsurface structure, weathering, root-zone dynamics, and ecosystem development in real time. The position offers exceptional opportunities to combine environmental geophysics, hydrology, soil science, ecology
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on translating concepts between electromagnetism and acoustics and on the topology and dynamics of complex wave fields. The research will examine polarisation and symmetry singularities, chirality and helicity
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candidate will have a strong foundation in statistical mechanics, stochastic processes, dynamical systems, complex systems, or related quantitative approaches; Experience in developing and implementing
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candidates will join a transdisciplinary research team with interests in characterization of weather and climate extremes, risk management, multisector dynamics, and climate data products development. Selected
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engineering, or a related discipline completed within the past five years. Research experience in machining science, machine tool dynamics, machine tool error compensation and modeling, CNC system design, and
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-solving skills to to join our dynamic research team in chemical biology as a Research Assistant Professor. The ideal candidate has a robust background in chemistry, biology, or related discipline
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– Affiliated Associate Professor of Computer Vision, MBZUAI & Associate Professor, Carnegie Mellon University. Dr. Xu directs a dynamic research laboratory focused on computational biology, bioimage informatics