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Field
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view https://www.ntu.edu.sg/sc3dp/ We are looking for a highly motivated Research Fellow to join our multidisciplinary team aiming to optimize the silica glass additive manufacturing parameters and
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discrete black box combinatorial optimization problems (https://arxiv.org/abs/2510.01824 ). In this work, we parameterize a multivariate autoregressive generative model for generating solutions. By sampling
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systems. Key responsibilities Develop modeling tools to assess the environmental and socio-economic sustainability of industrial supply chains and processing technologies. Implement optimization models and
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effectiveness of battery recycling workflows, supporting experimental and simulation studies across the battery lifecycle, and implementing algorithms for process monitoring and optimization so that recycling
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The postdoc's primary mission will be to optimize feedback (critical incident technique) in high-security contexts using interview protocols developed within the framework of the scientific psychology
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About the Centre for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics
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hardware-software stack — from signal acquisition and real-time processing to edge AI model deployment and system integration. Experience with implementing and optimizing machine learning models on resource
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properties Regeneration strategy: Define optimal thermal or vacuum regeneration conditions to ensure the sustainable and economic viability of the process. Candidate profile: PhD in chemical engineering
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related to the exchange of momentum, energy, and mass. Significant challenges persist in understanding processes and feedbacks. The Land-Atmosphere Feedback Initiative (LAFI, https://lafi-dfg.de ) is an
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water. The work is carried out by building optimization models and collecting data according to principles of open science. The analyses include sensitivity analysis, scenario building and analysis, and