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climate economy in Australia (Dr Svenja Keele ) Communicating Data to Advance Community and Ecological Wellbeing (Prof. Libby Lester ) Making Futures Together: Designing and Testing Creative Methods
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experience relate to the project. Highlight your experience in modelling, signal processing and neural data analysis. The studentship code BI095 in the ‘Studentship/Partnership Reference’ field When prompted
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screening and characterization to generate and validate novel enzymes with tailored specificities. Under the joint supervision of Assoc. Prof. Birgitte Zeuner and Assoc. Prof. Timothy P. Jenkins, the PhD will
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from on-board and off-board sensors have been collected and analysed. However, such raw data collected from multiple sensors is often disturbed and does not indicate the ship performance at calm water
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, considering discrete modulation; Contribute to the implementation of digital signal processing algorithms in a FPGA platform; Contribute to the implementation of information reconciliation algorithms in a GPU
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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The Biosensors lab (https://www.gizeligroup.eu/ ), headed by Prof. Electra Gizeli, invites applications from a PhD student for one position to work in the newly awarded EU HORIZON-HLTH-2023-TOOL-05 project
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with disabilities through inclusive Human-Computer Interaction (HCI) and participatory design methods. This PhD project will focus on methods and experiences in co-designing with stakeholders, especially
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | about 1 month ago
the onset, progression and chronicization of fibrosis, and impact on innovative therapeutic strategies to target these processes with relevant publications in the field. Expertise in advanced techniques
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the interpretability of these models can be enhanced to support clinical decision-making. This project will leverage the complementary expertise of both supervisory teams in EEG signal processing, graph deep learning