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Field
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analytics to accelerate vaccine discovery. The postholder will contribute to the systems vaccinology and systems biology workstream of the programme, performing the analysis and integration of high
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data-generation and training workflows, including sampling, active learning, transfer learning, validation, and uncertainty or robustness analysis, to reduce the cost of generating excited-state training
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acquisition, signal processing, and data analysis for pilot studies and clinical validation. 7, Perform other duties and responsibilities as assigned. Requirements 1, Ph.D. in Mechanical Engineering, Biomedical
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interfacing of resonators with oscillator circuits Data analysis and interpretation of device performance metrics, including frequency stability, quality factor (Q), and temperature behavior Experience with
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demonstrable experience in the analysis of large-scale biological datasets, applying statistical modelling and computational approaches to high-dimensional data such as bulk and single-cell sequencing, gene
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development, and high-performance computing Proficiency in R or Python, and shell scripting Interest in gene regulation and developmental biology Optional previous experience with epigenomic data analysis
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its calibration via simulation and observational data analysis. The project has industry partners and will offer opportunities to work with public and private data sets. We are looking for someone with
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of molecular mechanisms of disease development. Your tasks We are looking for a highly motivated candidate with genuine interest in biomedicine and a strong proficiency in data analysis. In this project, we
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | 2 months ago(Python, R, or equivalent). Experience with machine learning, multi-omics data analysis, cancer genomics, immunogenomics, or systems biology of transcriptional regulation is highly desirable. Subject 2
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, incident response, or post-incident analysis; have experience in human-computer interaction, human-centered AI, explainable AI, or user-centered design; have experience designing, conducting, and analysing