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and data-driven approaches to improve model performance and interpretability, incorporating uncertainty quantification across a range of scenarios. Other responsibilities include publishing findings
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software development practices. Experience with uncertainty quantification and statistical analysis Skill in written and oral communications. Experience interacting with scientific staff and research groups
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. Experience with uncertainty quantification and multi-modal deep learning. Experience with distributed training. Skill in written and oral communications. Experience interacting with scientific staff and
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another relevant natural or engineering science Good knowledge of uncertainty quantification (including Bayesian techniques), random sampling, data evaluation methodologies, and game theory Knowledge
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methods and their implementation, High-Performance Computing experience, methods of Uncertainty Quantification Offer – What you can look forward to: A dynamic, international team from various disciplines
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, data science, mathematics, or closely related fields (e.g., physics) Demonstrated experience with data science, especially statistical hypothesis testing, uncertainty quantification, pattern analysis
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, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control and Dynamic Programming. Appointment, salary, and benefits. The appointment period is two years