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with an organization known nationally for excellence in research! Our T-32 Cardiovascular Research Fellowship at Cedars-Sinai Smidt Heart Institute is a robust post-doctoral training program that
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stars. The project applies state-of-the-art computational physics methods, particularly Smoothed Particle Hydrodynamics (SPH) with self-gravity, shocks, strength and geological equations of state
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, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields. You will be an integral member of an inter-disciplinary
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 5 days ago
Lawful Permanent Residents (LPR) only. This program, administered by ORAU through its contract with the U.S. Department of Energy to manage the Oak Ridge Institute for Science and Education, was
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Applicants should have a doctoral degree or an equivalent qualification in Biomedical Science, Bioengineering, Biomedical Engineering, Electronic Engineering, Computing, Materials Science, or related areas and
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-accelerated intense proton beams. Primarily, the tasks are to be done by means of analytical calculations and high-performance computing simulations in a strong link with the industrial partner (HB11 Energy
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 5 days ago
. Through the program you will also improve your scientific writing, data presentation, and peer exchange skills to enhance communication and critical-thinking skills within a regulatory science setting
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Details Title Postdoctoral Fellow in Soft Robotics School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description The Wood Lab is seeking a postdoctoral fellow to explore new methods for embodied intelligence in soft and reconfigurable...
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a