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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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. 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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), (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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, 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 | 3 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
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Research project “DAWN: Illuminating Deep Uncertainties in the Estimation of Irrigation Water Withdrawals” , led by Dr Arnald Puy (University of Birmingham, United Kingdom). DAWN merges philosophy
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
internship, the student will calculate and evaluate the radiological impact of relativistic electrons accelerated by laser-plasma interaction, estimating doses and dose rates in typical laboratory scenarios
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Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based
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relativity, The analytical and numerical study of the potential breakdown of effective field theory methods outside black holes, The analytical and numerical modeling of the dynamics of (and gravitational
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modelling techniques, including data-driven methods and AI-assisted approaches, to evaluate system performance, explore system integration strategies, and assess techno-economic and environmental impacts