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Field
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be to develop high fidelity simulations and/or algorithms to enable Bragg coherent diDraction imaging. We expect x-ray ptychography and coded aperture methods to play a fundamental role in creating a
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. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing
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years into terminal degree), including PhDs, MDs and dual degrees (e.g., MD/PhD, MD/MBA) and post-doctoral researchers Effective verbal/written communicator; self-motivated, team player Eligibility
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. No experience required. Preferred Qualifications Three years of relevant experience typically as a Research Assistant, Research Technician or PhD. PhDs interested in our research and with prior
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learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
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Preferred Qualifications: Experience with one or more of the following: Building novel 3D and super-resolution ultrasound systems. Developing deep learning algorithms for 3D biological data. Designing and
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immunotherapy for basic and translational research in the laboratory of Dr. Xue Zhong Yu. A qualified candidate is expected to have a strong publication record and excellent references from PhD or postdoctoral
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Type of Position Temporary Position Time Status Full-Time Required Education PhD Required Related Experience Mouse works, animal surgery, biochemistry (scRNA-seq, immunohistochemistry, Flow Cytometry
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– Pietras Laboratory Position #00836840 – Requisition #37232 Job Summary: This position reports directly to Dr. Eric Pietras, PhD, and will work within the Pietras Lab, a component of the School of Medicine’s
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 2 months ago
Data Exchange Standard (ADES); (2) modernizing short-term impact monitoring through adaptive search algorithms for systematic ranging (Scout); and (3) refining long-term impact prediction via improved