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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative modelling (diffusion/transformers), multimodal representation learning, and experience in
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machine learning and neuromorphic hardware is to utilise material platforms that exhibit multiwell behaviour. One challenge here is to understand and control the dynamic response of the system for complex
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. In this postdoc position, you will focus on using Extended Reality (XR) simulations to investigate how micromobility influences pedestrian well-being and behavior, with particular attention to stress
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methods, integrating qualitative approaches (e.g., interviews, walk-alongs, focus groups) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd
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Vacancies Postdoc position ‘Socio-political impacts and future adaptability of hydrogen systems’ Key takeaways In recent years, hydrogen is promoted as a versatile energy carrier expected
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24 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering
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electron ground states. Another promising route towards physical implementations of energy-based machine learning and neuromorphic hardware is to utilise material platforms that exhibit multiwell behaviour
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. Curious to learn more about the project, and perhaps our group? Feel free to browse our webpages: About our department: QCE department . About our group: Computer Engineering Labs. Job requirements For
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Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable analog CIM-based AI accelerator design for future neuromorphic accelerators