21 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows; Excellent work planning and issue resolution skills; Strong technical, written, and verbal
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foundation in fundamental biofilm research, microbial community assembly and manipulation, and biofilm reactor operation is essential. Experience in metabolic engineering is desirable. The successful candidate
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responsible for research on distributed query processing and information retrieval for text and RDF files. Experience in Linked Data and Semantic Web technologies is essential, while familiarity with approaches
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(e.g., shopping malls). Located at the intersection of machine learning, robotics, and acoustic signal processing, the project will bring together a highly interdisciplinary team of researchers, industry
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signal simulation frameworks for BSL gestures. Process skeletal motion data to drive simulation pipelines. Conduct radar experiments to calibrate and benchmark simulation outputs. Write academic papers
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the NExT++ Centre, Singapore), the broader research community, and industry stakeholders and will be responsible for research on distributed query processing and information retrieval for text and RDF
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and data processing of the study. Proficiency in data analysis (quantitative and qualitative) and interpretation are essential skills for this role. The postholder will have strong report and paper
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to integrate these systems for global-scale quantum communication and information processing. Informal enquiries are encouraged and can be directed to Dr Patrick Ledingham (p.ledingham@soton.ac.uk ). The ORC is
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, electrochemical catalysis, reactor design and process optimisation for CO2 electrochemical reduction. You will be working with leading experts from a dynamic and multidisciplinary team including University