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is seeking an Infrastructure Architect Senior to design and operate the platform infrastructure that supports Michigan Online and CAI's digital learning ecosystem. Reporting to the Director of
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California State University, San Bernardino | San Bernardino, California | United States | about 9 hours ago
. Key Responsibilities: Peer Educator & Role Model: As an Orientation Leader, you will serve as a peer educator and role model, setting a positive example for incoming students. Responsibilities: Under
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students for certification and employment in Central Service/Sterile Processing. The successful candidate will be able to foster an inclusive and equitable working and learning environment, instructing a
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transitions in and out of campus housing, accurate data reporting, and collaborative partnerships across departments. As part of our integrated residential education model, you’ll work closely with professional
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris La Defense, le de France | France | about 2 months ago
a postdoctoral researcher to work full-time on the DiscoReel project. The postdoc will work on developing machine and deep learning methods for epidemic modeling, integrating them with mechanistic
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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environment. Master's degree in a relevant field (e.g., Data Science, Computer Science, Engineering). Experience supporting data and analytics workflows (BI, data science, machine learning, etc). Familiarity
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: Education: Bachelor in Biosciences, or Engineering degree in Computer or Data Sciences. PhD in bioinformatics, data sciences, machine learning or related areas. Experience: previous experience working with
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of an artificial intelligence (AI) solution for the diagnosis of invasive fungal infections, using microscopy images obtained in laboratory settings with limited resources. Leveraging deep learning models such as
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large-sample hydrology (LSH) datasets, deep learning rainfall-runoff models, and hydrological alteration analyses, with the ultimate goal of improving the identification and management of ecological flows