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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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engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes
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computing, or computational fluid dynamics. Programming experience, preferably in Python, C++, and/or MATLAB. Ability to work both independently and collaboratively. Excellent analytical and problem-solving
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research spans the following broad areas: Complex systems: Nonlinear dynamics and Data assimilation, Statistical physics, Fluid dynamics and turbulence, Condensed matter physics, Biological Physics; Space
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biological environments like synovial fluid. Preclinical Evaluation: Design and oversee advanced in vitro and in vivo biological assays to critically evaluate nanobot internalization pathways, dynamic tissue
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, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks two postdoctoral or more senior research scientist for Earth System research and development activities focused on data
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responsibilities: Synthesis and functionalization of highly biocompatible, organic-based nanoparticles to serve as active delivery carriers for therapeutic molecules. Study of the enzyme-powered motion dynamics
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related field Excellent reacting flow multi-physics computation experience in high-performance computing (HPC) environments Experience in computational fluid dynamics (CFD) codes and modeling Ability
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and developing a machine perfusion system to improve organ preservation. The candidate will work in a dynamic, multidisciplinary environment alongside PhD-level engineers and scientists, graduate
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fluids, or related areas. Proficiency in scientific programming with Python and/or C++. Strong written and verbal communication skills. Knowledge/Skills/Abilities Knowledge of computational methods