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, functional, and nutritional characterization, and their application in diverse food systems. The fellow will also contribute to the design, execution, and optimization of experiments using statistical
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research focused on cancer genomics, precision oncology, biomarker discovery, and translational cancer biology using cutting-edge computational, statistical, and multi-omics approaches. The Postdoctoral
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processing, or statistical machine learning. Interest in working with speech and audio datasets, detector models, generative audio models, and experimental evaluation. Motivation to publish scientific articles
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of Availability of the Annual Security and Fire Safety Report In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University
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biology, developmental biology, evolutionary biology or a related field at time of hire. Hands-on experience with confocal microscopy. Competence in applied statistics. A record of peer-reviewed publication
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
position focused on advancing crop production and physiology through field experimentation, computation (statistics and machine learning), and process-based models. The successful candidate will have an
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Science, or a related field. No experience required. Preferred Qualifications PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology
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possess a Ph.D. neuroscience or related field requires applicants to demonstrate strong research skills, data analysis proficiency, and statistical expertise, coupled with exceptional written and verbal
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Engineering and production optimization Documented mathematical, analytical and problem-solving skills. Good knowledge of statistics, AI/ML, and mathematical modeling and programming. Good knowledge in academic
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InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences | Poland | 13 days ago
and zootechnical data. Statistical and bioinformatic analysis of data and identification of potential biomarkers associated with reproduction and gamete quality. Preparation and dissemination