15 algorithm-"DIFFER"-"Foundation-for-Research-and-Technology-Hellas" positions at The Ohio State University
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responsibilities may include improvements to the geodetic early warning algorithm, G-FAST, and testing scenario earthquakes in different regions around the world. Minimum Education Required A Ph.D. is required, with
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. The applicant must meet with clinicians to understand the nature of the dataset and translate that knowledge into data cleaning so the data can be properly used by machine learning algorithms. The Data Analyst
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learning models (semantic segmentation, domain adaptation, multimodal AI) to analyze plant and environmental data. Support the integration of AI algorithms with robotic and sensing systems for real-world
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, integrate, and validate sensors, especially but not limited to biomedical sensors for physiological monitoring. --Collect experimental data, implement algorithms and signal processing, contribute to system
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on the assessment. The James Clinical Call Center Triage RN uses established triage algorithms to guide the assessment and interventions that need to be taken. The James Clinical Call Center Triage Nurse is
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, cybersecurity, or theory/algorithms. Additional Information: Additional Information Ohio State provides access to a depth and breadth of opportunities and resources. Starting your first day, Ohio State offers you
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and risks of AI from feminist perspectives; algorithmic bias and critical data studies; feminist climate science; environmental justice; climate modeling and feminist refugee studies; feminist critiques
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., new algorithms, models, evaluation frameworks, datasets/benchmarks, or system designs), or design/adapt AI approaches to solve previously intractable questions in a domain leading to generalizable
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roles (for senior hires). Foundational contributions to scalable and robust AI algorithms, models, and frameworks to address key challenges in health, biomedicine, and life sciences. Developed widely
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develop, advance, or rigorously evaluate AI methods, lead AI-centered applications that produce generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets