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field (e.g., engineering, applied mathematics, statistics) Strong theoretical understanding and practical experience in machine learning, multimodal foundation models, continuous learning, and agentic AI
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) Focus on Microbiome Data Science and Explainable Machine Learning Core research themes We are looking for motivated and skilled students to join our research team in the field of plant microbiome data
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engineering courses. Primary duties will be to teach undergraduate Electrical and Computer Engineering courses in the areas of Digital and Computer Design Coursework, Electric Circuit Analysis, Electronic
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Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals; and for providing
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languages Knowledge of machine learning, AI systems, or autonomous agents Experience with scalable software systems and cloud-based development environments Familiarity with software engineering practices
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Graphics: https://www.jku.at/cg Your Qualifications: The successful candidate must hold a Diploma/Master’s degree in a corresponding discipline (computer science, mathematics, engineering or related) or have
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Professor) DEPARTMENT: Computer Information Systems REPORTS TO: Dean of Science, Technology, Engineering, Mathematics and Education Programs POSITION STATUS: This is a full-time, Open Rank (Instructor
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. In particular, he/she will be expected to :• Select and evaluate the most suitable approaches from the wide range of machine learning and computer vision methods available in the literature, with
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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background in integrating physics-based models with machine learning for predictive structural analysis Familiarity with AI-assisted design and decision-making, supporting engineers in evaluating design