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tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience
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development. Engage in seminars, workshops, and group meetings to broaden scientific perspective and support growth. What is Required: PhD in a technical field such as chemistry, physics, materials science
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of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from brain organoids. This position
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scalable quantum algorithm development and quantum-HPC codesign. What is Required: PhD in Computer Science, Computational Science, Applied Mathematics, or a related field awarded within the last five years
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, Materials Science, or a related field. Hands-on experience with first-principles or atomistic methods relevant to interfacial systems, including DFT, ab initio MD, enhanced sampling techniques, or tight
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networking technologies, software, algorithms and applications Evaluating or developing new and promising HPC systems and networking technologies Researching methods to control and manage next-generation