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Part-Time Lecturer for IE2108 Data Structures and Algorithms in Python The School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University, Singapore, invites qualified
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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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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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405545/research-fellow-ai-… Requirements
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research team working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI
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sciences, field of information science for the group of subjects related to data structures and algorithms at the Department of theoretical and applied foundations of information sciences Where to apply E
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, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by
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related to staff position within a Research Infrastructure? No Offer Description The Leverhulme Centre for Algorithmic Life is a major new interdisciplinary research hub dedicated to the study of how
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 18 days ago
accurately study the selected algorithms, participate in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) and AutoLyap (https://github.com/AutoLyap/AutoLyap/ ) software packages