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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 2 months ago
-tolerant quantum computers that can handle applications at realistic scales. To date, several architectures for quantum hardware have been developed that all have their strengths and weaknesses. For instance
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. She is also a faculty member in the Biophysics Program and a Faculty Fellow of the Sarafan ChEM-H (Chemistry, Engineering and Medicine for Human Health) Institute. Cegelski’s PhD in Chemistry and
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cytoskeleton and membrane trafficking. • Utilize quantitative, biophysical, and computational approaches to cell biology, including fluorescence imaging, image analysis, and biophysical modeling. • Experiment
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Requisition Id 15338 Overview: We are seeking a Postdoctoral Research Associate to lead the fabrication and integration of cutting-edge quantum photonic architectures, with a focus on merging
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Classification Title: Post-Doctoral Associate in Exoplanet Demographics Classification Minimum Requirements Must have PhD in Astronomy, Astrophysics, Physics, or other relevant space sciences
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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
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Job Posting Title: Postdoctoral Scholar, Climate & Community Resilience, Planet Texas 2050 ---- Hiring Department: School of Architecture ---- Position Open To: All Applicants ---- Weekly Scheduled
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., diffusion transformers, multimodal representation learning) for modeling high-dimensional biological images. Develop computational methods to reconstruct and simulate 3D tissue architecture and dynamics
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
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Stanford’s Department of Computer Science and the Data Science team at Stanford Health Care. Our research spans both core methodological advancements (e.g., developing novel ML architectures and evaluation