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will be to develop novel or improve existing AI algorithms and conduct investigations aimed at improving our understanding of the evolution and function of microbiomes. You will be responsible
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, and REDCap. Skills in system modernization, user story development, and workflow automation. Skills in applying complex algorithms and data structure principles. Expertise in executing and managing
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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Offer Description Your Responsibilities Qualitative analysis of choice architectures and recommendation algorithms of social media platforms in the context of their communicative function within
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of codes and algorithms. We will focus on devising computational solutions that can immediately be of use in other applications contexts as well. The candidate’s work will entail the development and
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
retrieval algorithm development with focus on using the polarimetric signals, the new FIR or sub-mm bands, and/or the ML/AI approach; (3) ML/AI application on system/pattern tracking on satellite images
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I, Linguistics Posting Number req25319 Department Linguistics Department Website Link https://linguistics.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The University
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Position Description The School of Physics (https://physics.gatech.edu/ ) at the Georgia Institute of Technology in Atlanta, Georgia invites applications for a Postdoctoral Fellow position in Artificial
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variety of Georgia Tech initiatives, including the Algorithms and Randomness Center (ARC), the Center for Machine Learning (ML@GT), the Center for Research into Novel Computing Hierarchies (CRNCH), and the