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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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analytics of high-resolution physiological data and other biomarkers. The group applies machine learning tools to better understand the pathophysiology of acute brain injuries with a focus on disorders of
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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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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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intelligence algorithms using Python. Knowledge of machine learning or reinforcement learning techniques is highly advantageous. Experience with theoretical wireless network modelling, particularly stochastic
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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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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
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signs, of adults falling, and of decline in cognitive abilities. The solutions aim to be unobtrusive, deployable, and cost-efficient. The PhD stipend concerns the invention of machine learning-based
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quantitative shape representations Analysis of structure–function relationships between morphology and movement Modelling genome–phenotype relationships using machine learning and genomic language models