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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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tasks, such as object detection. Contributes to evidence-based processes and procedures for program quality review and assessment of outcomes data. • Build software packages for prototype systems. Minimum
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spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
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two-photon imaging systems, and working on a research project funded by the Wellcome Trust to investigate fronto-sensory feedback microcircuits in the brain and their relevance to behavioural
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imaging (MRI). The position is within the Research Council of Finland (RCF) consortium project focusing on the development of low-field MRI hardware, sequences, image reconstruction and applications, in
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effort to combat GBM with surgery, radiation and chemotherapy, 90-95% of patients succumb to the disease within 5 years of diagnosis and nearly all patients experience disease recurrence, usually within 6
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Postdoctoral Research Associate: AI Medical Imaging and Devices About the Role We are in search of exceptional, self-driven postdoctoral research associates (PDRAs) to join a dedicated team in
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diffusion MRI methods that are suitable for clinical imaging. The post holder will be expected to take an independent and proactive role in managing the research process, maintaining and setting up
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Electrical Engineering, Biomedical Engineering, Chemical Engineering, Optical Sciences or related field At least three publications in biomedical imaging, advanced signal processing, and/or nanotechnology
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teaching, at the service of the patient. It aims to better understand and treat electrical dysfunctions of the heart that are the cause of many cardiovascular diseases representing nearly a third of deaths