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measurements and in the underlying physical models. Machine learning (ML) techniques can be exploited to identify common patterns in the data and augment the physical laws of wave propagation, leading in turn
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
mathematical ADA model to provide quantitative immunogenicity assessment for therapeutic proteins. This model was constructed using antibody titer data from subjects across 10 clinical trials, with ADA time
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Update July 10, 2025: CIHR is longer accepting applications for the CIHR Postdoctoral Fellowship program. Please refer to the Canada Postdoctoral Research Award program web page for information
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team members to ensure all project deliverables are met. Accumulate data from Co-PIs for quarterly, annual, or final progress reports Schedule meetings with co-PIs, collaborators on-site or off-site
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team members to examine patients’ responses by analysing EEG and behavioural data. Candidates are expected to hold a medical qualification (MBBS or equivalent) and be fully registered with the GMC, have
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computational methods for cancer pangenomics using long-read sequencing data. Through TGen's Collaborative Sequencing Center (CSC), we have access to in-house PacBio Revio and Oxford Nanopore PromethION platforms
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- “Information cues and consumer decision–making in livestream e-commerce”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post
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on musculoskeletal health in occupational and community settings. Design and implement cohort-wide studies using questionnaires, interviews, and real-time task observations. Collect multimodal data via motion-capture
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candidate, you will: · You must have experience with flow cytometry, molecular biology techniques, cell culture, microscopy, tissue processing, immunohistochemistry, immunofluorescence, data analysis
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psychological research. Applicants are invited to contact Prof. Krishna Savani at telephone number 2766 7129 or via email at krishna.savani@polyu.edu.hk for further information. Conditions of Service A highly