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Field
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degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image processing is required. Ability to effectively and efficiently utilise industry
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different strategies for reducing the provision of routine low value diagnostic testing and imaging in NSW intensive care units. You will design, conduct, and publish research in collaboration with our health
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sessions and initiatives. The fellow will be trained in the Gallery’s collections-management system (TMS), image and media databases, and other software systems as needed. Mentoring The fellow will be a
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motivated and creative Postdoctoral Scientist to join our dynamic, cross-disciplinary team. This role focuses on understanding how the somatosensory system has evolved to detect, process, and relay
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operation, thermal management, high power prototype design and testing, etc. are preferred. • Knowledge of software such as PSIM, PLECS and MATLAB/Simulink • Prior knowledge and experience in digital
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, fairness, privacy, or explainable AI. Experience with biomedical image processing, radiomics, or digital pathology. Scientific programming on Linux or high-performance computing environments. LICENSES
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of Artificial Intelligence tools (e.g., Scopus, Elicit) III. Solid knowledge in Maturity Models for Omnichannel Approaches in healthcare IV. Solid knowledge in the persona paradigm in the area of
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filter design, high-switching frequency operation, thermal management, high power prototype design and testing, etc. are preferred. • Knowledge of software such as PSIM, PLECS and MATLAB/Simulink
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yeast live cell imaging and microfluidics. Additional Information Benefits Fellowship financial conditions: The fellow will benefit from a monthly stipend in the amount of 2260€. The amount will be paid
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implementation methodologies suitable for industry adoption. Lead the scale-up of laboratory processes (e.g. aqueous carbonation) to prototype and pilot systems, including system design, optimisation, and