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contemporary controls on aeolian processes in desert environments. Due to the research needs within the group preference may be given to candidates with specific expertise in aeolian dust emissions, especially
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(RL)—to address challenges in spatial genomics, cell fate control, differentiation automation, and drug/cell perturbation analysis. Research Focus: The successful candidate will: Co-lead the further
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with a multidisciplinary team to ensure seamless operation of perception and control systems. Conduct experiments in real-world and simulated environments, with a focus on high-speed performance. Publish
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on Consumer and Community Involvement in Randomised Controlled Trials (RCTs). You will contribute to a growing and dynamic team at the UQ Centre for Clinical Research, working at the forefront
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devices, and edge computing platforms. Deploy machine learning models to enhance process control and system responsiveness. Collaborate with industry partners to identify research challenges, co-develop
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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for magnetic measurements, digital acquisition and control, magnetic sensors (e.g., GMR, MTJ, fluxgates, atomic magnetometers), magnetic nanoparticles, magnetic particle imaging (MPI), and 3D image
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Please note that the person hired will work with critical infrastructure and areas affected by controls on the export of strategic goods, services and technology. Candidates who do not meet the
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to support model-based control of Deep Brain Stimulation (DBS) and personalised treatment strategies for Parkinson's disease. Develop and optimise scalable data processing pipelines, including GPU acceleration
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requirements for the position The University of Bergen is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications. About the PhD position About