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of Computational Biology, or related fields Strong publication record in leading international journals Excellent background in molecular biology Excellent programming skills Experience in computational analysis
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Learning (ML) field Experience in software development life cycle and programming languages Experience in writing and publishing research papers in top-tier ML conferences (e.g., NeurIPS, ICLR) Skills in
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hands-on experience in mid-infrared photonics Good written and oral communication skills The ability to conduct independent research is highly desirable. We regret to inform that only shortlisted
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, and publication list Two educational or professional recommendations. At least one recommendation must be submitted in order for the mentor to view your application. All documents must be in English or
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research and learning. Incorporates advanced methodologies such as deep neural networks and language/multimodal models, leading the preparation of scientific Required Department Minimum Qualifications: Ph.D
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and eye disorders. The De Paola Lab at Duke-NUS
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, AND EXPERIENCE PhD in developmental psychology or developmental cognitive neuroscience, Experience in EEG pre-processing, processing, and analysis, strong programming skills and/or advanced
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for databehandling: Cloudflare - Personvernregler for databehandling Utløpsdato: Session Navn: _cfuvid Leverandør: .hsforms.com Databehandlingsansvarlig: Formål: Saves the selected language for the website. Utløpsdato
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), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand Foundation and several other prestigious
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for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python, or similar programming languages. Experience in using and developing models to simulate natural systems. Knowledge