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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 21 days ago
that communicate findings to internal and external audiences; and 4) Support the development of reproducible analytic pipelines that can be reused for future regulatory science projects. Learning Objectives: Under
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skills in English, including the ability to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus. High analytical ability to analyse and illuminate data
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the one of the relevant fields. Preferred skills: Experience in forest operations analysis, forest resource management, spatial data science, supply chain/logistics analytics, machine learning Analytical
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university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration. The Neuroscience Institute (NI
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 19 days ago
efficacy assessment of gene therapy products, including AAV vectors and gene-modified immune cells. The fellow will develop and apply innovative in vitro model systems and analytical platforms, including
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forutsetter at nettsiden kan huske de valgene du gjør. Du kan velge bort cookies fra Google Analytics her . Det er mulig å velge bort enkelte annonsenettverk som deler opplysninger på tvers av forskjellige
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modelling. Proficient in or able to learn ecosystem service software (e.g., InVEST, ARIES). Strong analytical, problem-solving, and data interpretation skills. Effective in research design, reporting, and
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Learning and Data Analytics. You will have experience in composing project deliverables and delivering effective presentations and be able to assist in project integration workshops and other meetings. With
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interdisciplinary NIST team in applying multiple analytical methodologies, including neutron activation analysis, XRF, and ICP-MS and OES, among others, as well as document and report findings. The ideal candidate
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, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and