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The Stankovic Laboratory at Stanford University School of Medicine seeks a highly motivated research scholar with expertise in data science, epidemiology, and computational analysis of large-scale
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, Information System
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% Mentoring – 10% Requirements Required • PhD in Computer Science, Animal Science, Agricultural Economics, or relevant field and/or experience conducting similar work • Proficiency in programming languages
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(LLMs), Deep Learning, Explainable AI, Computer Vision, Knowledge Representation and reasoning, Generative AI for data synthesis and augmentation, Data Engineering, Big Data Analytics, Cloud Computing
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interdisciplinary research and dialogue. Qualifications Successful applicants must: Hold a PhD or similar qualifications within relevant fields of Computer Science or Mathematics. Exhibit curiosity-driven research
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information about the company at: (MIRICO | Next Generation Emissions Intelligence ) Find out more about the University at: https://www.dur.ac.uk/ Find more information on the Innovate UK programme at: https
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languages such as R and Python is recommended. Further Technologies: Familiarity with statistical data analysis and cloud computing platforms is recommended. Personal Competencies: Independence and Creativity
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. DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful
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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