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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 6 hours ago
Familiarity with high-performance computing environments or cloud computing. Experience with workflow tools (e.g., Snakemake, Docker, Singularity). Experience in interactive data visualisation and dashboard
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will have substantial experience in practical research as well as statistical epidemiology, handling large (e.g. proteomics) and complex longitudinal datasets in a cloud-based platform. Excellent written
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to management and technical staff relating to Cloud Infrastructure products and solutions. Provides strategic technical guidance to management and engineering teams on Citrix infrastructure solutions, ensuring
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: Puppet, Chef, Ansible). Experience with infrastructure implementations in Google Cloud Platform (GCP) or similar IaaS cloud environments (AWS, Azure), preferably using Infrastructure as code (IaC
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-dimensional wind field, along with associated cloud and precipitation structures, across a wide range of atmospheric phenomena. In addition, it will provide valuable observations of sea ice and snow, as
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, and deployments in compliance with governance and security requirements. This role also supports the School's CRM strategy by designing end-to-end solutions across Salesforce clouds, including Sales
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environment - Experience with email marketing: building email templates, pulling data for audiences and sending emails (Salesforce Marketing Cloud preferred) - Experience with CRM software and reporting
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and security event monitoring. • Understanding of information security fundamentals, vulnerability assessments, and cyber hygiene best practices. • Experience in Microsoft cloud environments
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Centre for Sustainable and Digital Agriculture (NCSDA) at the University of Saskatchewan. This role ensures that the NCSDA’s computing, cloud, and data environments, including web-based dashboards and
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the IoT-Edge-Cloud continuum. This role focuses on developing lightweight, efficient AI models (SLMs) that can operate at the "edge" to predict, detect, and mitigate system failures before they escalate