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contributions as a software engineer for a wide range of projects requiring computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including
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technology in classroom, distance learning and laboratory environments creating and modeling a quality learning environment that supports a diverse student population preparing, distributing and utilizing
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(https://haitrans.univie.ac.at/ ) based in the University of Vienna Centre for Translation Studies. HAITrans investigates the behavioural and cognitive effects which technologies such as machine
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-order modeling, or machine learning Experience collaborating in interdisciplinary research teams What you will do Develop hybrid quantum–classical methods to improve simulation and prediction
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models. The role also requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated
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composites for enhanced durability, performing microstructural analysis and mechanical testing. Topology Optimization & AI Integration: Use AI and machine learning to guide structural and topology optimization
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environmental factors such as fluctuating wind speeds and saltwater exposure. Using advanced statistical and machine learning techniques, including Bayesian inference and stochastic modelling, the project will
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data, thermophysical data and modelling approaches Knowledge/interest on data-driven approaches, i.e. machine learning Experience and knowledge in sorbent-based CO2 capture Experience of interaction
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aspects of research, conducting field research and development of physics guided machine learning models. The primary project focuses for this Part Time Research position deepening the understanding