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. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr. Leticia Tarruell. The interplay of interactions and gauge fields is responsible for some of the most intriguing phenomena
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for these frameworks, and use them to analyze key performance indicators such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree or
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will focus on analyses of existing datasets on Manx Shearwaters and European Storm Petrels to obtain improved estimates of demographic parameters across these species’ north-east Atlantic breeding range
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such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree or terminal degree from a recognized institution of higher
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of the high-level of uncertainty and variability associated with climate change, infrastructure performance, and socio-economic parameters. Approaches to risk assessment vary from qualitative to semi
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. The candidate will calculate misfit values between the statistically modeled RSL and glacial isostatic adjustment (GIA) model predictions of RSL to identify modifications to the ice history and Earth parameters
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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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Table 23 in the UC Salary Scales . A reasonable estimate for this position is $69,073- $82,836. Application Window Open date: April 6, 2026 Next review date: Wednesday, May 6, 2026 at 11:59pm (Pacific
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) ranking candidate resection/ablation targets and 4) estimating the probability of patient response to neuromodulation and the corresponding parameter ranges. KEY SELECTION CRITERIA The applicant will be
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
improve estimation of rates of snow accumulation, snowmelt, ice melt, and sublimation from snow and ice worldwide at scales driven by topographic variability. We seek projects focusing on the use of machine