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with PyTorch, required to have experience developing code with a team through collaborative version control Experience working with large datasets and cloud computing environments. Solid background in
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, Python, SQL, and related languages. Experience with AWS (RDS, EC2, S3, etc.) preferred or with Azure or Google Cloud. Experience with supervised and unsupervised ML methods. Advanced Statistical Expertise
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Bachelor’s degree in computer science One or more years’ hands-on experience developing research software on high performance computing and cloud systems Experience developing science gateways and web-based
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design, provisioning, installation, configuration, operation, and maintenance of network systems throughout their lifecycle. This includes, but is not limited to, supporting both on-premises and cloud
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critical role in designing, delivering, and optimising the University's dedicated CDDR cloud-based data warehousing capabilities. You will work closely with your core stakeholders, consisting of researchers
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library setting. Knowledge and understanding of the use of D2L or a similar Learning Management System, cloud storage, Microsoft OneDrive, and Google Suite. Maintains relevant and current knowledge
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, recommend, and manage relationships with AI technology vendors, cloud service providers, and platform partners to ensure the System receives optimal value, performance, and service levels. - Lead technical
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Sensibilität bezüglich Datenschutz- und ethischer Anforderungen im Umgang mit Cloud-Services und Nutzer∗innendaten Sehr gute Deutsch- und/oder Englischkenntnisse (C1+) Wir bieten: Teilzeitstelle (19,75 Stunden
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proficiency in Adobe Creative Cloud suite. Novice or intermediate proficiency in social media platforms. Detail-oriented and diligent to follow-up and complete tasks for assigned projects. A positive, pleasant
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software stack from containerised backend systems of services running in kubernetes and cloud services, to adaptive front end XUI systems including state of the art AR and VR systems. You’ll be welcomed