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Field
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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
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FLSA Status: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary A postdoctoral position in biology is available in the Mingxing Teng laboratory at Baylor College of Medicine in Houston, TX
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Job Description Apply now Job Title: Postdoctoral Associate Division: Biochemistry Work Arrangement: Onsite only Location: Houston, TX Salary Range: Per NIH Minimum FLSA Status: Exempt Work Schedule
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clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms
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Qualifications - Experience in developing algorithms for analysis of biological data. - Experience with single cell and spatial transcriptome data analysis. - Experience in supervised and unsupervised machine
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
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(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
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Correction & Quantum Computing Algorithms 4. Supervising Graduate & Undergraduate Students Homepage of Sangmo Cheon’s group https://sites.google.com/view/sm-cheon-group-homepage/home Position Details Duration
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machine learning algorithm to improve the modeled surface meltwater in the Goddard Earth Observing (GEOS) model. Advocating and adapting the model based on collaborator feedback is key to the success
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Department of Pediatrics - Section of Oncology is seeking a Postdoctoral Associate to join an interdisciplinary team of scientists broadly interested in