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collaborative problem-solvers specializing in data science, statistical, and/or machine learning methods and tools, and have worked with various forms of data, including text. They should also enjoy conducting
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Balears (UIB) / University of the Balearic Islands (UIB) Where to apply Website https://ppi.uib.eu/ Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 days ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and
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Preferred Other Computer Applications: SPSS, EndNote Preferred Additional Knowledge, Skills and Abilities: Proficiency in SAS, Microsoft Access, and/or GIS software is highly desired. Email to a Friend https
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interest in the total affairs of the college. Under general supervision, this individual will develop, prepare, and teach general computer technology courses in support of general education requirements
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: The School of Art within the College of Visual and Performing Arts seeks Part-Time Instructor to teach ARL 154 Concept/System/Action Workshop - Interactive Art, a 1 credit hour course, during the Spring
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research in Physics-Informed Machine Learning (PIML) for metal additive manufacturing process. This role will focus on developing novel machine learning frameworks that seamlessly integrate physical
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data. Building on these results and codebases, the successful candidate will work on a bioinformatics and machine learning research project on the inference of alternative splice forms using deep
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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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. The University of North Georgia is currently accepting applications for a Data Science Intern - Institutional Student Worker. This position will: Learn how to apply statistical and machine learning techniques