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Doctoral student in physics-guided foundation model for time-series data Reference number REF 2026-0434 Join us to develop physics-guided, data-driven foundation models for multivariate time-series
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Scholarship in Medicine, supported by the McCall MacBain Foundation. The objective of the Award is to provide supplementary financial assistance to support Indigenous students enrolled in the Doctor of
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Eligibility and selection criteria Eligibility Applicants must: be approved for an Overseas Semester Exchange in Semester 1, 2027 to any Swinburne partner university . Enrolment criteria Applicants must be: a continuing second year or above Swinburne student in Semester 1, 2027 studying any...
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Advancing Human Motion Understanding through 3D Modelling and Foundation Models (S3.5-COM-Chen) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Zhixiang
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, and physics-informed machine learning open new possibilities for establishing grid foundation models. However, it is still unclear which model structures is most capable and suitable, how well they
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relevant decision-making. The candidate will contribute to the development of foundation models for sequence data and patient trajectories, representation learning approaches for microbial genomes and
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feeds Stage : Étude et Mise en Œuvre de l'Outil VMware Cloud Foundation Operations (vROPS) H/F 113 / 839 vacancy Détail de l'offre Description du poste Domaine Systèmes d'information Contrat Stage
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Universidad Diego Portales | 2 months ago
Galactic astronomy, Extragalactic astronomy, Cosmology and Numerical Relativity. More information on our research and potential projects can be found here: https://astronomia.udp.cl/en/teaching/phd
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Job Description Want to help rethink the foundation of the internet? Become a PhD student at DTU Electro – it only takes 20 minutes! The internet is growing at an explosive pace - and so is its
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orchestrators with physics-informed neural networks and commercial power system dynamic simulation tools. The second PhD student will focus on the development of Trustworthy AI Foundation Models for or the