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description We are seeking a postdoctoral researcher in assembly and production system design, with a focus on modularisation, digitalisation, and Model-Based Engineering (MBE). The role involves contributing
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We are looking for a postdoctoral fellow with a focus on the analysis and modeling of the transformation of socio-technical systems, and specifically how different strategies for electrification
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for Clean Energy Conversion: Learning Multiscale Dynamics in Fuel Cell Systems”. The project aims to develop a multiscale modeling framework that combines computational fluid dynamics (CFD), electrochemical
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large language models such as ChatGPT. The project page, with our early publications, is available at: https://www.kth.se/blogs/dai/ The work will primarily entail design, implementation, and evaluation
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description In recent years, AI models have shown remarkable
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Project description Third-cycle subject: Applied and Computational Mathematics We are seeking a motivated doctoral student to work on generative modeling for time series and sequential data. The project
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demands. To improve care and expand access, there is a need for fast, efficient and resource-constrained computation models accessible for all clinicians and researchers. Deep learning methods applied
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Technology, KTH, is looking for a 6 month full-time research engineer who shall support the integration of AI to aid our modelling work in the tools OnSSET, OnStove, and OSeMOSYS. The work is part of a
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project aims to integrate societal impact assessment of transport solutions and policies with travel behavior models. Traditionally, these models and assessment methods are developed independently and
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for applications in virtual reality, gaming, digital assistants, and social robotics. We build on recent breakthroughs in spontaneous speech synthesis and gesture generation based on deep generative models to train