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. Experience in, or willingness to learn data-driven approaches, including artificial intelligence (AI) and machine learning (ML) models, to solve problems. The Successful Candidate Will A curious scholar with a
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Office Medicaid Innovation Job Summary The Medicaid Data Analytics Coordinator is a specialized, professional role requiring expertise in data analytics, statistical modeling, and health
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of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real-time data acquisition. You will
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already been awarded a PhD degree. Selection process You should submit your CV through a dedicated site: https://cv.newton-6g.eu/ Additional comments Position: Data-driven models for CF networks
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across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives. You will develop and deploy a self-supervised pre-training
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libraries (spaCy, NLTK, Hugging Face). Machine learning fundamentals and model evaluation. API integration and version control (Git). Prototyping, testing, and refining NLP-driven applications. Applying human
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impactful, application-driven research. This position supports a strategic research project on full electric harbour craft microgrid modelling, onboard energy management systems (EMS), and hardware-in
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to exciting research in data-driven control in a collaborative and dynamic environment. About us At the department of Electrical Engineering research and education are performed in the areas of Communications
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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Filled No Position Type Permanent Staff (EHRA NF) Working Title Research Software and AI Engineer Appointment Type EHRA Non-Faculty Position Number 20075049 Vacancy ID NF0009612 Full Time/Part Time Full