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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
applicant will contribute to the AIGLE project by: · Developing innovative scientific Deep Learning/Machine Learning algorithms for flash flood forecasting. · Contributing to the collection
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addition to the mandatory requirements, documented experience in the following areas will be considered as strong merits: Practical experience in video and/or image analysis, especially with deep learning. Experience from
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and maintenance of productive and effective links inside the University and locally and nationally. What we’re looking for: Appointment at Level B: A PhD or equivalent in a relevant field. A good
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the development, evaluation, and practical application of machine learning methods (especially deep learning) Publication of scientific results in renowned international journals and conferences Teaching of courses
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: Required: • MSc (or equivalent) in: Computer Science, Cybersecurity, Machine Learning, or related field • Strong background in: machine learning / deep learning, mathematics (probability, linear algebra
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with experience in clinical social work to teach required MSW practice courses and other courses (as needed) in our MSW program. This is a 9-month position that teaches the equivalent of six courses
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bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how
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management that drives innovation and creates sustainable value for business, society, and the planet. Through world-class learning, impactful research, and deep industry collaboration, we support
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Frankfort, KY Grade Level 50 Salary Range $81,640-138,798/year Type of Position Staff Position Time Status Full-Time Required Education MA Click here for more information about equivalencies: https
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and deep understanding of machine learning, artificial intelligence, algorithms, and knowledge of the latest developments in AI. Proficiency in ML tracking/monitoring tools (MLflow, Grafana) and LLM