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information, or quantum algorithms Knowledge of machine learning (e.g., deep learning, optimization, or learning theory) Programming skills in Python and experience with scientific computing (e.g., NumPy, SciPy
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related fields. Strong research background in intelligent systems, human-centred AI, machine learning, multimodal analytics, learning technologies, or related areas. Working knowledge of generative AI
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, oral and written communication skills. Intermediate-level knowledge of the Macintosh and Windows environments. Demonstrated knowledge or interest in computer technology and willingness and ability
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application of advanced machine learning techniques, including deep learning approaches, aimed at identifying complex patterns of host immune responses to vaccination. The research activities will also include
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, and system integration Providing general support for the lab Job Requirements: Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in machine learning
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. Demonstrable knowledge in the field of the tasks to be carried out (machine learning in environments such as Python and others) that can be accredited through software projects on platforms such as GitHub, endof
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analytics (with expertise in data exploration and data engineering), probability and statistics, machine learning, data visualization, database management systems, data mining, predictive analytics, and
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interdisciplinary environment spanning explainable AI, causality, knowledge representation, and neural networks. Research (90%) research in probabilistic machine learning and neuro-symbolic AI (e.g. neural nets
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15 Apr 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Machine Learning and Neural Computation Research Field Computer science Researcher Profile
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increasingly rely on data-driven models to extract, represent, and interpret information from complex and evolving environments. Traditional machine learning approaches, as well as many classical signal