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Field
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well as regular meetings of the consortium that provide networking opportunities. As a research-focused University embedded in the South Wales Compound Semiconductor Cluster, Swansea provides excellent
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
error modeling and encounter clustering (Sentry) Field of Science: Planetary Science Advisors: Steven Chesley steve.chesley@jpl.nasa.gov (818) 354-9615 Applications with citizens from Designated Countries
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genomics and biosynthetic gene cluster (BGC) analyses Microbiomics (e.g., NGS) A scientific diving license A full car driving license At a workplace, directly on the Kiel Fjord with many leisure and
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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presentations Excellent communication skills in English (both spoken and written) Desirable: Experience in microbial genomics and biosynthetic gene cluster (BGC) analyses Microbiomics (e.g., NGS) A scientific
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition
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Cluster, Swansea provides excellent opportunities for applied research, semiconductor technology development, and industrial collaborations. As the selected PDRA, you will be simulating, designing and
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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing
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-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity to interrogate publicly