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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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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
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aims to digitalize the sense of smell, laying the foundation for understanding how olfaction works in humans and for building AI models that simulate olfactory experiences. The research will focus
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and glycoproteomics. Computationally, they will engage in the analysis of various ‘omics data, be involved in using and improving AI models for glycan structure prediction, and perform biosynthetic
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amplifier performance. By combining advanced device measurements, empirical modeling, and power amplifier design, this project will generate new insights into the material, process, and design factors
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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: -Risk-aware navigation strategies that integrate visual-language models for autonomous
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in our relationships with each other. We value a workplace that is perceived as equitable, developing and stimulating for all employees. We constantly work to create conditions for job satisfaction
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to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration
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develop and improve protein-glycan binding prediction models and use AI, data science, and bioinformatics to identify and design glycan-binding proteins with desired binding specificities. Qualifications
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postdoctoral fellow to work with advanced 3D models of lung to understand regenerative processes in normal conditions and disease states. The employment is full-time 100% with the desired start date on 15