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of Physical and Mathematical Sciences. We are seeking a Research Fellow to contribute to the research agenda of the project ‘Geometric Optimization and Design in Learning and Robotics'. Key Responsibilities
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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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and development in the chemical conversion and valorization of hazardous waste streams, focusing on complex, reactive materials. Involves process design, optimization, and scale-up, including reaction
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Conversion of Biomass” is looking for a Postdoctoral Researcher in Chemical Engineering to optimize biomass extraction and for upscaling and improving flow processes. Key Responsibilities: Upscaling of flow
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Materials, Bioinspired Materials and Sustainable Materials. We are looking for a research fellow with a strong background in electrochemistry and catalysis to Development and optimization of biomass chemical
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languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in
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solid particle transport. The successful candidate will contribute to the creation of an AI-optimized platform capable of achieving up to 50× speedups in simulation performance, enabling real-time, energy
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to etch novel lattice patterns Perform optical characterizations of structures using various optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new fundamental
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/network/circuit patterns Perform characterization of structures using atomic force microscopy and optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new
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. Experimentation & Implementation - Develop and implement the related algorithms, models, and techniques. - Perform rigorous benchmarking and evaluation of the developed models. - Optimize algorithms for efficiency