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[map ] Subject Areas: High Energy Physics / BSM , BSM new physics , Dark Matter , Electroweak Symmetry Breaking , Experiment , Experimental , Flavor Physics , Higgs physics , LHC , Machine Learning
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allow users to input CDR forcing (e.g., alkalinity addition) and produce day-by-day forecasts of CO2 uptake and storage durability. The project combines physics-based modeling, machine learning, and high
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-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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of this postdoctoral position falls within the scope of the ANR project 4DPlants (https://4dplants.icube.unistra.fr/ ) funded by the French Ministry of Higher Education and Research, which involves
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trials to multi-omics explorations, imaging, biomarker development, stable-isotope tracers, and large-scale data set s and machine learning. The lab is now recruiting for a postdoctoral researcher, who
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: Machine Learning / Machine Learning Lattice Field Theory lattice gauge theory Nuclear Theory Nuclear astrophysics Appl Deadline: 2026/02/01 11:59PM (posted 2025/11/04) Position Description: Apply
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate - Alzheimer's Center Department Institute for Health, Health C Salary Details A maximum of $70,000 Offer
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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on intelligent observing systems using machine learning and data assimilation methods in the ACTIVATE project. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/289326
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biology-experimental and/or theoretical biophysics-experimental and/or computational genomics-computer science, statistics, and/or machine learning with applications relevant to genomics-bioinformatics