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, scaling and long-term reservoir performance while reducing uncertainty in geothermal development. Specifically, you will: Integrate core, wireline log and seismic datasets to characterise reservoir
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requires manual interventions and is often subject to uncertainty. This project develops novel Bayesian methodology with the aim to return a posterior over weights, tuning parameters, and the residual
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develop and evaluate advanced operations-research and data-analytics methods using realistic operational datasets, with an emphasis on translating modern optimization, forecasting, and uncertainty-aware
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
Engineering, Engineering Physics, Physics, Mathemat Employer Raven51 AG (BAM) Location Berlin (DE) Salary Salary group E 13 TVöD Closing date 13 Sep 2026 Website https://www.bam.de/ View more categories View
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Job Description As organizations confront sustainability transitions, AI-mediated disruptions, geopolitical uncertainty, and increasingly fragile supply chains, technological expertise has become a
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of nuclear fuel behaviour in reactors, with particular emphasis on statistical methods, uncertainty quantification and machine learning to improve the accuracy and computational efficiency of fuel
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( https://unveil-dn.eu/ ). The goal is to understand how objects are built and age and to support conservation, restoration, and authentication—while training 12 doctoral researchers across engineering and
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be automatically redirected to an external site after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details The cognitive mapping of uncertainty by integrated neuromodulation
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external site after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details Research Technician in Neuroscience The cognitive mapping of uncertainty by integrated neuromodulation
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of uncertainty in CML water vapor retrieval against reference station, GNSS, and UAV profiling data Develop an uncertainty estimation model for CML retrieval suitable for sparse-reference-data