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on advanced perception and scene understanding for robotic harvesting. The successful candidate will contribute to the development of novel methods for: simultaneous 3D scene reconstruction and plant modelling
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 21 hours ago
and contract staff. You will learn how to do the following: Design and validate numerical reservoir models for unconventional enhanced oil recovery processes in shale and tight formations. Calibrate and
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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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with large-volume data management. Experience with seismic imaging or source characterization methods (e.g., ambient-noise interferometry, travel-time tomography, waveform modeling). FLSA Exempt Full
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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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group theory, model theory Alexander Sodin Mathematical physics, spectral theory Evgeny Strahov Random matrix theory, integrable probability Yakov Varshavsky Representation theory, Algebraic geometry
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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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modern machine learning and a strong record of research accomplishment who are excited to build brain foundation models and other AI systems that advance our understanding of neural activity, brain