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approached by tools in both computational chemistry and applied mathematics. Specifically, the project involves the development of mathematical modeling strategies at both numerical and analytical level to
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programme Reference Number AE2025-0527 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0527
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. This includes building a physical robot system that can be used in the project to explore iterative evolution of not only the way a robot acts, but also its physical body. They will build on the work done by
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project of a higher education institution, developed in association or cooperation with one or more R&D units.” (https://files.dre.pt/2s/2021/10/210000000/0013700149.pdf ). 4. Project Objectives: General
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; T2: State-of-the-art review and model testing; T3: Development of algorithms for information extraction; T4: Algorithm testing and validation; T5: Preparation of reports, presentations, and other
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Research Associates / Magma Research Fellows to develop and maintain the Magma computer algebra system (http://magma.maths.usyd.edu.au/magma/ ). These positions are based at the University of Sydney in a
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
Develop and implement novel AI models and learning algorithms for multimodal and generative modeling. Collaborate with neuroscientists, clinicians, and AI researchers on interdisciplinary problems involving
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
Develop and implement novel AI models and learning algorithms for multimodal and generative modeling. Collaborate with neuroscientists, clinicians, and AI researchers on interdisciplinary problems involving
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leverage their expertise to develop innovative algorithms for data analysis. Additionally, they will be responsible for communicating their findings to the scientific community through academic meetings and
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and