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interdisciplinary research on knowledge extraction from social data. Project description The project is in the emerging area of fair social network analysis. In today’s algorithmically-infused society, data about our
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Requisition Id 15634 Overview: The Data Analytics and Machine Learning (DAML) Group is seeking an exceptional mathematician to work on the development of rigorous theory and algorithms needed
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publications, please visit: https://sites.google.com/view/ormeir/ Swagato Sanyal earned his PhD from the Tata Institute of Fundamental Research, India. Currently he is a Lecturer at the School
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in Verilog. The FFT module must be enhanced to include the calculation of a metric named "Total Harmonic Distortion" (THD). Functional verification and performance testing of these algorithms must be
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: Design hierarchical models that explicitly capture misspecifications in metabolic models Develop differentiable and scalable inference algorithms using automatic differentiation Implement HPC-tailored
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. Demonstrated experience designing analytical frameworks, and experience using machine learning algorithms and Bayesian statistics within the R-language. Demonstrated experience managing project workflows and
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, University of Warsaw, Banacha 2, 02-097 Warsaw. Employee benefits: access to professional development, social benefits, and training opportunities. More information: https://en.bsp.uw.edu.pl/researchers/ Basic
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, and training opportunities. More information: https://en.bsp.uw.edu.pl/researchers/ Basic responsibilities and obligations The selected candidate will: conduct scientific research in the field
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integrated modelling. The key role of the candidate focusses on investigating and implementing neuromorphic algorithms algorithms to dedicated photonic reconfigurable systems. Job is in the context of EU
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
Lidar and the Roscoe upper troposphere/lower stratosphere lidar). Additional projects include the development of machine learning and advanced data processing algorithms, and participation in upcoming