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transform visual information, and how neuromodulatory state changes, including exposure to drugs of abuse, alter visual processing and visual behavior. We combine large-scale electrophysiology with controlled
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sequencing. Assist in the implementation of analytical pipelines for large-scale omics datasets, including next-generation sequencing and array-based datasets, with a primary focus on methylation data analysis
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. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health
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research outputs. About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and
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sociology. Strong quantitative skills and experience with large-scale data analysis required. Computer Science/HCI: PhD in Computer Science, Human-Computer Interaction, Information Science, or related
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progress. Ability and willingness to work some flexible hours. Extensive experience in large-scale pre-training of large language model. Experienced in developing machine learning algorithms and large
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such as teacher education across local and global contexts. It requires strong methodological capability, particularly in quantitative approaches, and the ability to contribute to large-scale and
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by Research Asst. Prof. Nilanjana Sadhu. This role involves quality control and analysis of large-scale proteomic data generated using affinity-based and mass-spectrometry-based methods. The Research
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factors for Alzheimer’s disease and related dementias by integrating large-scale human genetic data with phenotypic, environmental, lifestyle, and registry-based information. The postdoctoral fellow will
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 21 days ago
diseases, conditions, or injury. The project will utilize a variety of approaches including large scale cell manufacturing, extracellular vesicle manufacturing and characterization, biomaterials, high