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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer
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Research Infrastructure? No Offer Description Based in School of Computer and Information Technology (Mawson Lakes) Full-time (1.0 FTE), 11-month fixed term contract Salary Range: $114,917 - $135,932 per
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. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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approaches to enhance existing experimental methods and better approximate real flow conditions in multiphase reactors. The Institute of Chemical Process Fundamentals of the CAS is a public research
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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 29 days ago
connected to phylogenetic software, methods and models, molecular evolution, hybridisation and introgression, and the evolutionary histories of eucalypts, viruses, bacteria, and Archaea. The ANU Phylogenomics
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of antibody functional screening data. These efforts will advance methods for rapid machine learning-based antibody drug design while developing new and improved antibody drug products. We are looking
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, biologists, computer scientists, biostatisticians, students and other research staff. Prepare oral presentations, posters, and written reports to evaluate data, explain analysis methods, and interpret results
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 5 days ago
; substantial variance in patient characteristics and clinical endpoints that complicate treatment effect estimation; uncertainty in estimating the duration of therapeutic benefit; the need for robust methods