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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 6 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0022-NPP-NOV26-MSFC-Heliophys How to Apply All applications must be submitted in Zintellect Please visit the NASA
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project 1. Only 2% of the human genome sequence codes for proteins, while most of it consists of noncoding sequences, including regulatory factor binding regions, transposable elements, pseudogenes
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for Researchers and the Code of Conduct for the Recruitment of Researchers. 1. The requirements to be met by the candidate (detailed description of the knowledge, qualifications, skills, and professional
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project 1. Only 2% of the human genome sequence codes for proteins, while most of it consists of noncoding sequences, including regulatory factor binding regions, transposable elements, pseudogenes
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computational foundations of that capability and help bridge the gap between Bayes theory and practical application: knowledge integration, developing robust likelihood frameworks, sampler behavior for long
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computing in collaboration with the faculty supervisor and members of the research group. The research focuses on applying coding theory to develop innovative fault-tolerance protocols that support scalable
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the collection, coding, management and analysis of qualitative and/or quantitative material. Design and conduct semi-structured elite interviews, including topic guides, participant recruitment, transcription and
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modelling, combining ecological theory with modern, reproducible approaches to understand and predict biodiversity change. Based in Potsdam, Germany, immediately southwest of Berlin, the position offers
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position within a Research Infrastructure? No Offer Description Activities and context: The fellow will develop machine-learning interatomic potentials (MLPs), trained on density functional theory-DFT data
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. A well-qualified candidate for this position will also possess: Familiarity with QCD theory, heavy ion physics, Monte Carlo event generation techniques. Experience using and developing JETSCAPE event