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. The position is aimed at a method-oriented researcher interested in developing and applying computer vision–based methods in real-world settings. The project is part of the European Partnership on Animal Health
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include: Intrinsic uncertainty estimation in MLFFs (epistemic & aleatoric uncertainty) Negative log-likelihood and calibration methods for force-field training Feature-space and orbit-based analysis
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and 2D materials, and oxides. Fabrication of functionalized Pb-free MHPs by solution processing methods. Fabrication of complete Pb-free MHPs solar cells and memristors (TFTs). Stability analysis
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Mineral Supply ' project funded by . The aim of this project is to translate research methods pioneered by Durham University Earth Sciences (DU ES) on crystalline basement rock hosted oil reservoirs
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large suite of cosmological simulations designed for multiwavelength cosmological modelling. Once in hand, the candidate will use the simulations to explore novel analysis methods with the goal
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Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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the development of novel reconstruction methods that can concurrently estimate the sound speed and initial pressure distributions within tissue from PACT data. Reconstruction methods for ultrasound computed
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integration. Strong communication skills and a collaborative mindset. Knowledge, Skills, and Abilities Solid knowledge of power-system analytical methods (power flow, economic dispatch, state estimation
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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes