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Field
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of Dr. Qiao FAN. Why Join Us? Access to cutting-edge datasets, a collaborative research ecosystem, and high-performance computing. Opportunities for career growth, international collaborations
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, Python programming, high-performance computing, and computational chemistry will be preferred. This position is a full-time, benefits-eligible position. Interested applicants should submit a cover
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advantage Familiarity with large biological datasets and high-performance computing is desirable Ability to work independently and collaboratively in an interdisciplinary research environment
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scenarios to inform government policy through a web-based application for FMAI4Air proof-of-concept. Leverage High-Performance Computing : Pretrain and fine-tune the models on world-leading HPC
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industry to lead and/or conduct innovative research on applied artificial intelligence computing. Contribute to academic research in the relevant domains and publish high-tier journal papers and
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-performance computing, and scientific programming (e.g. Python, MATLAB, C/C++) is highly desirable, as is a strong publication record and the ability to communicate research effectively within an
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EO solutions. We offer: a stimulating multinational, interdisciplinary and open work environment; access to high-performance computing infrastructure and unparalleled EO and technology expertise
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developmental, ageing or neuropsychiatric cohorts, including longitudinal or large-scale population datasets. · High-performance computing, reproducible workflow development, version control and
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. Strong quantitative and analytical skills in working with large-scale geospatial datasets and socio-economic databases. Proficiency in high-performance computing (HPC) environments and scripting (e.g
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downstream statistical inference. · Developing and implementing computationally intensive algorithms using high-performance computing (HPC) clusters. · Managing and analyzing multiple large