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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc in
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, trade, or vocational school. Preferred: Bachelor's degree (4-year program). Required Certification: EPA Section 608 Universal Refrigerant Certificate or obtain it within the first year of employment
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and Geographic Information Systems (GIS) - Computer science and informatics, including HPC, cloud computing, and data architecture Point of Contact Mikeala Eligibility Requirements Degree: Doctoral
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three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Pay and Benefits Pay Range
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Scotland Innovation Hub to provide a secure cloud computing platform for Federated Learning and Machine Learning model development, and clinical researchers from NHS Greater Glasgow and Clyde. The successful
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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Positions Application Deadline 18 May 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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for translating business needs into technical solutions, leading efforts to adopt emerging AI-enabled platforms, and ensuring robust deployment to cloud infrastructure. You'll mentor team members, foster a culture
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. Proficiency in utilizing and trouble-shooting issues with computer applications and online platforms (i.e. MS Office, Zoom, shared cloud storage spaces, databases, Handshake etc.). DESIRED QUALIFICATIONS
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-design to enable efficient and accurate deployment of AI algorithms on robotic, edge, and heterogeneous computing platforms. Develop methods for efficient deployment of AI models on cloud and edge devices