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%)- The worker will integrate digital twin technologies and third-party cybersecurity tools to enhance platform realism and threat coverage. The responsibilities include provisioning and managing cloud
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research methods. Practical knowledge of cloud-based platforms, integrations, enterprise applications, and data-driven systems. Experience working with external vendors or third-party service providers
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, Edge and Fog Computing SDN/NFV IoT protocols IoT architectures Digital Twin Network Security Smart Applications Device/Edge and Cloud based Machine Learning Position Type Academic Position Type Academic
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this role. MINIMUM QUALIFICATIONS Education Bachelor’s degree required in Communications, English, Information Science, Business Administration, or a closely related field. Master’s degree preferred
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Bachelor’s degree in Computer Science, Information Technology, Business, or related field; technical certifications in relevant areas (e.g., cloud platforms, business analysis, AI/ML, digital solutions
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and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning algorithms. With a passion
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software development from the analytical and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine
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-edge cloud ERP technology in a dynamic higher education environment. The successful candidate will join a collaborative ITS team committed to protecting university data while enabling institutional
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in Computer Science, Information Technology, or related field; technical certifications in relevant areas (e.g., cloud platforms, MLOps, data engineering) preferred and a minimum of 3 years