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of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence
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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and
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motivated with strong written and oral communication skills. Preferred Qualifications: Experience with first-principles calculations, DFT, Machine Learning, HPC. The individual is expected to actively pursue
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, and laboratory/field experiments Cost-benefit analysis, General equilibrium model, Advanced econometrics Machine learning techniques including text analysis, and related subjects Well-versed in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
For information on UNC Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/309284 Posting Contact Information Department Contact Name and Title Courtney Lineman, HR
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particle physics phenomenology, such as perturbative computations in quantum field theory, machine learning, effective field theories, global fits, etc. The Center invites applications for a number of
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. Miller III Department of Physics and Astronomy at Johns Hopkins University invites applications for one or more postdoctoral researcher positions starting Fall 2026 at the intersection of machine learning
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wireless communications, RF signal processing, and/or applied machine learning Strong background in digital communications and RF signal processing, ideally with experience in SATCOM, NTNs, or space-borne
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experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image
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online databases or interactive websites. Learning Objectives: TUnder the guidance of a mentor, the participant will learn techniques in genomic epidemiology and machine learning to quantify drivers of IAV