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Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
, transcriptomics, and single-cell biology. Qualifications Required • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics, or a related quantitative discipline. • Candidates
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, artificial intelligence, applied mathematics, physics, and related fields. Candidates with strong methodological expertise and an interest in applying AI to Earth science problems are especially encouraged
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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characterising chronic diseases and disease patterns from electronic health record (EHR) data through the development of advanced deep learning methodologies based on state-of-the-art foundation models. You will
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Geophysics, Physics, Mathematics, Earth Sciences or closely related discipline. Experience with and love for linking models to field data. Solid understanding of seismic wave fields and their mechanics
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Probability, Gaussian processes, discrete probability, extremal combinatorics Zlil Sela Geometric group theory, model theory Alexander Sodin Mathematical physics, spectral theory Evgeny Strahov Random
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
systems that will benefit the development of models and methods for predicting the behavior of gas hydrates in their natural environment under natural conditions and production scenarios. RIC supports major
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 18 hours ago
Development Program to obtain pertinent, high-quality information on natural gas hydrates systems that will benefit the development of models and methods for predicting the behavior of gas hydrates in
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on experimental thermo-mechanics and the reservoir modeling. Job requirements Need-to-haves: PhD in Geophysics, Physics, Mathematics, Earth Sciences or closely related discipline. Experience with and love
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research associate to advance the analysis, quality assurance, and calibration of automated pavement condition data and pavement performance modeling. The successful candidate will contribute to two