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optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning
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Your position We are seeking a highly motivated postdoctoral researcher to join our interdisciplinary team. You will develop and apply advanced statistical and causal inference methods
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is on a fixed term basis till the end of February 2027. This position focuses on the development of innovative microfluidic-based sensors for continuous, in-situ chemical and biochemical analysis
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institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields. The University is engaged in economic and human development and puts
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Arnold Arboretum of Harvard University: Katharine H. Putnam Fellowship in Plant Science Eligibility: Scientists with a Ph.D. in plant biology, evolution, plant genetics, plant ecology, horticulture
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environment for which SMG is renowned. Background REVOLUPHON is an ambitious project in computational cognitive science, cultural evolution and phonological theory, which seeks deeper explanations for human
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National
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background in earthquake monitoring. The successful candidate will lead and contribute to developing a machine-learning powered earthquake monitoring and early warning system. The role involves both
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are looking for a SASEAF Postdoctoral Fellow to develop hybrid plasmonic–photonic nanostructures that enhance solid‑state single‑photon emitters, covering fabrication using direct laser writing (DLW), optical