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Field
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using deep-learning-based spatial-acoustic imaging”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent qualification and must have no more than five
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machine learning, and for precision-aware scheduling in distributed systems. They will design, develop and refine a software prototype system for distributed serving of machine learning models that leverage
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imaging support researchers. Islet Biology is a growing focus, particularly with recent recruitments and infrastructure support through the Canada Excellence Research Chair in the Islet Microenvironment
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the Neurogenesis and Brain Cancer group led by Prof. Simona Parrinello. The team uses a variety of state-of-the-art technologies, including advanced imaging, single cell and spatial ‘omics’, barcoding, mass
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or other relevant discipline. Extensive experience with in vivo two-photon calcium imaging. Ability to work independently. Proactive and creative independent thinker. Ability to problem-solve and
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, therapeutic intervention and psychopharmacology, and child/family studies. Facilities include functional magnetic resonance imaging (fMRI), electroencephalography (EEG), neurostimulation (TMS/tDCS
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software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v
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facilities dedicated to microfluidics, high-resolution imaging, and cell culture that will support the fellow in training, setup, and execution of the project, and the successful candidate will have the
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work that underpins the scientific research of the collaboration. Research Title: Thermal 3D Magnetic Imaging of Advanced Semiconductor Packages The work will entail: Our multi-disciplinary team at NIST
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remaining barriers to commercialisation by manufacturing and operating a containerised system with increased power and capacity (10 kW, 20 kWh) in Nepal. Prototype performance will be characterised under real