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/20) Position Description: Apply Position Description Postdoctoral Associate – Scientific Machine Learning for Multiscale Biological Systems Duke University – Departments of Mathematics and
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The Applied Spatial Biology Oxford Group has an exciting opportunity for a Postdoctoral Research Assistant to join their team. The work will be jointly supervised by Professor Helen Byrne (Mathematical Institute, MI), Professor Simon Leedham (NDM), Dr Joshua Moore (MI) and Dr Eoghan Mulholland...
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1.5-year Post-Doctoral Fellowship in Biomechanics at Université de Montpellier, FranceTITLE: Multiscale characterization of mechanobiological responses in articular cartilage under biomimetic robotic
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Requisition Id 15052 Overview: We are seeking a Postdoctoral Research Associate to use advanced scanning probe microscopy for the development and application of multiscale excitonic probes. In
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. Research will focus on identifying and publishing results in methods to build foundation models, using multimodal and multiscale health data. The role is funded for 24 months in the first instance. About You
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will work under the direction of Professor Yubing Sun at the University of Massachusetts Amherst. The position is in support of the Laboratory for Multiscale Bioengineering and Mechanobiology (MIE). Job
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will work under the direction of Professor Yubing Sun at the University of Massachusetts Amherst. The position is in support of the Laboratory for Multiscale Bioengineering and Mechanobiology (MIE). Job
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researcher to start as soon as possible. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with