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Field
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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/subcontractors/suppliers. Background managing technical risks and uncertainties in early-stage systems design and conducting feasibility assessments across technical and cost dimensions. Technical Skills
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demonstrated ion trapping of single Yb+ ions. Optical clocks based on ultra-narrow transitions in trapped ions and neutral atoms have reached fractional uncertainties in the low 10-18 range, enabling landmark
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Diogo Botelho, 1327, 4169-005 Porto, Portugal and will be published on the website https://www.esb.pt. Candidates will be notified by email once this list has been made available. 8. Preliminary Hearing
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for diffusion models and other deep generative models; Uncertainty quantification, robustness, and efficiency in generative modeling; Applications in scientific and industrial domains. Physical Demands and
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causal inference, integration of heterogeneous data sources, uncertainty quantification Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry data, and sensor
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imaging configurations that minimize acquisition time and maximize measurement quality, (b) estimating measurement uncertainty due to camera defects, (c) accelerating 3D tomographic reconstruction from
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leadership and collaboration skills Creative thinker with a passion for innovation Self-motivated and able to work independently as well as part of a team Comfortable with uncertainty and ambiguity Preferred
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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(PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and