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using thematic analysis) – please indicate clearly skill sets possessed in application ability to work independently experience in project coordination / working with schools is preferred, but not
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functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical learning and language processing, perform EEG data analyses, and neural computation and
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frameworks (e.g., PyTorch, TensorFlow) and medical image processing is essential. Candidates should demonstrate a track record of peer-reviewed publications in the field of AI for medical imaging. Preference
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studies, specifically with mouse models. Proficiency in computer skills, including Microsoft Office (e.g., Word, Excel, PowerPoint) for data management and reporting. Desirable Skills: Proficiency in
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year work experience (fresh graduate will also be considered). They should have a good command of written and spoken English and Chinese (including Cantonese and Putonghua) and good computer literacy
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or other closely related fields such as microelectronics/applied physics; Proven experience in vacuum thin-film deposition, solution thin film processing method, electrical-optical measurements, devices
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Biological Sciences, preferably in ophthalmology or computer sciences or statistics or public sciences; (ii) proficiency in English; (iii) solid experience in ophthalmology and visual sciences research, deep
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processing method, electrical-optical measurements, devices such as organic transistor, light emitting diodes and thermoelectrics and/or photovoltaics; Ability to work independently; and Good communication
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. Requirements A Ph.D. degree in the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies Proficiency in data analysis using statistical or computer modelling software, such as
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) programmes. Applicants should have (i) a PhD degree from the University of good QS World University Rankings, special in Biological Sciences, preferably in ophthalmology or computer sciences or statistics