451 algorithm-development-"Multiple"-"Prof"-"Prof"-"St"-"Embry-Riddle-Aeronautical-University" positions
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Computer Science and Experimental Music (SCRIME ). Main activities: This research position project is part of the general orientation of the SCRIME projects activity aimed at developing theoretical approaches
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advance scholarship on who is most often exposed to algorithmic persuasion, how different types of people cope and are affected, and how we can develop remedies to reduce negative consequences. By doing so
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technologies for patient benefit. The post holder will play an active role across components of the theme. We believe that integrating artificial intelligence (AI) algorithms and state-of-the-art monitoring will
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 15 days ago
follows a phased algorithm: 1) generate an initial training set by uniformly sampling input points 2) (re)train the model on the trainng set 3) use feedback from the model’s performance to generate/augment
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candidate will contribute to: Developing supervised deep learning algorithms for 3D point clouds Developing self-supervised deep learning algorithms for 3Dpoint clouds Expand for a wider variety of downstream
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Job Posting Title: R&D Software Engineer ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt
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world to demonstrate noncontact monitoring of oxygen saturations in clinical environments using webcams Developing and implementing an evidence-based early warning score system (SEND) in multiple NHS hospitals Over
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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span
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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span
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at the National University of Singapore (NUS) with the collection, analysis, visualization of data and presentation of analytical results for regular and ad-hoc reporting purposes to meet multiple information and