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image files. All pdf-files must be unlocked and allow binding and may not be password protected. The assessment process Applications will be assessed by an assessment committee and the applicant will
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Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our
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using mouse models for neurodevelopmental disorders and brain inflammation. Run spatial omics approach including multiplexed protein imaging and transcriptomics. Collect and analyze data from genome-wide
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of molecular and biochemical techniques, primary culture, as well as imaging. In addition to research, the duties of the postdoctoral fellow will also include administrative and teaching tasks
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modelling and interpretation, but other aspects of neutron science are also relevant, for example QENS, reflectometry, and imaging. The candidate has a strong background in soft matter and experimental
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. The goal is to enable autonomous placement of the probe on predefined cardiac views as required in a standard echocardiographic examination. This should be accomplished by combining advanced medical image
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-files into a single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password protected
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. Annotate images Support data collection and processing Qualifications The ideal candidate will: Have basic Python programming skills Possess a foundational knowledge of physiology and anatomy Be familiar
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energy-efficient CMOS blocks implementing SSM-based LLMs. Prototype hardware blocks on FPGA and prepare for ASIC tape-out. Benchmark performance and comparison with transformer accelerators. Work with
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of epileptic seizures. The first prototype, CEN01, is expected to be implemented in hospitals, giving a more accurate and less time-consuming early detection of seizure. Work description The appointed researcher