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transcriptomics. Experience with Neuro Degeneration biomarker datasets (PET, MRI, immunoassays, ADNI). Prior experience working in collaborative, fast-paced research environments. Familiarity with cloud computing
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
contributor in technology governance and long-term IT strategy. The full job description is available, here: https://www.dropbox.com/scl/fi/wsfq3tkylrvbj54db5aoi/Principal-SW-Engr-Final-updated-12-19-25.docx
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the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees
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. Leads stakeholder meetings to set priorities, manage expectations, and drive improvements. Actively contributes to Cleveland State Universities (CSU’s) Cloud ERP solutions transition strategy. Leads cross
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. These networks combine local and remote servers, cloud-based services, user desktops, laptops, and communication devices to integrate operations in UCEAP's Systemwide Office and Study Centers abroad. Coordinates
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or NoSQL) Exposure to AWS services (EC2, S3, or similar cloud platforms) Candidates should include URLs and/or web portfolio and GitHub, along with a cover letter and resume. This is a grant-funded position
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promising forward-looking research agenda. Areas of interest include operating systems, distributed systems, embedded systems, mobile computing, and cloud/data center systems. We are also interested in
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in a project and team-oriented environment At least five years of experience working in higher education Experience with cloud development and data tools, specifically Azure and Fabric Preferred
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range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles) Please note: An offer will
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Palaiseau, le de France | France | about 2 months ago
appelé Cloud-Resolving Model (CRM). Il s'agit d'un modèle atmosphérique non hydrostatique simulant un domaine local relativement petit (quelques centaines de kilomètres, comparé au rayon de Jupiter de 70