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Field
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methods to estimate the uncertainty in the daily predictions What do we expect from you? We seek a scientifically curious researcher who is passionate about understanding the environment. You should hold a
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, Shanghai, China - Number of Openings: 3-4 Research Directions Research Project: Brain-Computer Interface and Neuromodulation Technology for Clinical Applications Research Goals: Establish specific
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offered a fully funded contract of up to 3 years. About the position The postdoctoral research position will require developing and applying cutting-edge machine learning methods to computer vision and
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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are seeking a
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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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of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional inaccuracy, irregular sampling grids, variations in measurement
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prioritize work while meeting multiple deadlines. Ability to communicate effectively in both oral and written form. Skill in using analytical software tools, data analysis methods, and other computer
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developing and applying the Multi-Estimator Method for Intrinsic Alignments (MEM-IA), which uses multiple shear estimators applied to the same galaxy sample to measure the intrinsic alignment signal without
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/ Lattice QCD High Energy Physics / Theoretical Particle Physics Lattice Field Theory Machine Learning / Machine Learning Lattice QCD and Heavy Ion Physics (more...) lattice gauge theory Appl Deadline
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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint