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systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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mass spectrometry; and advanced chemometric tools for the analysis, interpretation, and comparison of complex metabolomic data sets. https://www.nist.gov/programs-projects/metabolomics-quality-assurance
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Recruitment Objective Lead and support the CAMPS project for advanced spatial data production and analysis, with a focus on satellite imagery remote sensing, machine learning-based urban and architectural
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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 days ago
degree programme Additional Information Benefits Monthly maintenance allowance: According to the values for Research Fellowships awarded by FCT in Portugal (https://www.fct.pt/fct-atualizou-o-valor-das
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. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
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20057, United States of America [map ] Subject Areas: Analysis, PDE Appl Deadline: 2026/02/16 04:59 AM (posted 2026/01/12 05:00 AM, listed until 2026/02/17 04:59 AM) Position Description: Apply Position
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Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of High Energy Physics Demonstrated excellence in physics analysis, including data analysis, statistical interpretation, and
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research record in one of the following areas of pure mathematics. Algebraic and arithmetic geometry Random matrices, complex analysis Differential geometry Functional analysis and operator algebras Group
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages