137 parallel-processing "CERN" Fellowship positions at Nanyang Technological University
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powder bed fusion system, focusing on automation and control aspects of this novel machine and the implementation of an in-process monitoring system. This role is central to our efforts to push the
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processing and neural circuit mechanisms. Job Responsibilities Conduct research on mechanosensory and somatosensory circuits and sensory coding. Develop and apply behavioural assays, calcium imaging and
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electrochemical and CO2 removal research. Electrochemical process on interface phenomena MOF synthesis, testing under different conditions Simulation of scaled up process. Interface with machine learning group
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at the laboratory level while adhering to institutional processes. Laboratory Safety & Compliance Support the implementation of laboratory safety practices in alignment with IDMxS safety policies and regulatory
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sustainable manner. Key Responsibilities: Develop advanced experimental apparatus to investigate coupled multiphysics processes in porous materials (e.g., clay). Develop constitutive models and numerical tools
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CO2 removal research. The role will focus on: Electrochemical process on interface phenomena MOF synthesis, testing under different conditions Simulation of scaled up process. Interface with machine
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materials. The role will focus on developing the precursor formulation, conversion process into porous ceramic materials, characterizations of relevant precursors and ceramic composite, and explore various
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Responsibilities: Operational and Resource Management: Monitor and coordinate financial and administrative processes relating to Centre activities, including budget tracking, procurement, claims, contracts, and
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technologies, including the development and experimental validation of waveguide-integrated SNSPD devices; process integration; optical coupling optimization; on-chip detection-efficiency measurement; timing
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roadway structures using Distributed Acoustic Sensing and Distributed Mobile Sensing (DAS) on telecom fiber networks and mobile sensing platforms. Build data processing pipelines for DAS and vehicle-based