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Field
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subsurface characterisation, hydrogeology, borehole geophysics and numerical heat & transport modelling. Demonstrate experience in the characterisation and monitoring of geothermal resources, in particular
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of Singapore (NUS) and the French Singaporean international laboratory (MajuLab) are seeking a talented postdoctoral fellow to conduct theoretical and numerical investigations into the Kardar-Parisi-Zhang
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qualitative and quantitative research techniques which include accurate in-depth assessment, interpretation and evaluation of research outcomes. Maintain optimal experiment progress in the laboratory or in
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subsurface characterisation, hydrogeology, borehole geophysics and numerical heat & transport modelling. Demonstrate experience in the characterisation and monitoring of geothermal resources, in particular
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economy, DPPs integrate numerical, categorical, textual, and often multilingual content (i.e., multimodal), spanning diverse sectors such as consumer goods, electronics, and healthcare. From a computational
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efficient obstacle avoidance strategies to ensure collision-free navigation in dense settings. Implementing and validating algorithms in both virtual and real-world scenarios to optimize performance in indoor
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Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes
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writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning and optimization & controls Having basic knowledge in carbon
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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optimization, and covalent drug design. Collaborating with researchers and engineers at the Monash Institute of Pharmaceutical Sciences and QDX Technologies to implement scalable AI–quantum hybrid platforms