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enrichment (GO, KEGG), network analysis, genome assembly and binning, systems biology, and multi-omics integration. Apply statistical modelling, machine learning, and deep learning approaches for biomarker
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 35 minutes ago
Haemost. 2020 Jun 12;4(5):944-945. Learning Objectives: Throughout the appointment, you will learn training in design of experiments, preparation of scientific manuscripts and reports, presentation of data
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. The Fellow will work in close partnership with the lab's experimental team to build and apply analytical frameworks that translate these data into mechanistic insight and therapeutic hypotheses. As part of
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | 10 days ago
applications (BLA) being submitted to the FDA, there is a need to develop innovative analytical methods and regulatory science approaches to comprehensively evaluate the safety, efficacy, and quality
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 9 days ago
learning algorithms, as well as the adaptation and optimization of existing tools. This research aligns with CBER’s efforts to enhance the development, operations, and management of FDA’s High-performance
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tasks. Key Competencies Integrates GIS, remote sensing, and environmental data for spatial modelling. Proficient in or able to learn ecosystem service software (e.g., InVEST, ARIES). Strong analytical
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to the mentoring and guidance of junior researchers and students, fostering an environment of learning and innovation within the project team. Job Requirements: Doctoral degree in Analytical Chemistry, Chemistry
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/or energy operations. Experience with data acquisition (web scraping and API usage) and data visualization and other analytics tools including machine learning, optimization and simulation. Computer
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variety of research activities under the supervision of the Principal Investigator, including but not limited to the following: Develop new computational tools through the application of AI / deep learning