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assessment, you will develop new, sample-efficient optimal control approaches for gate calibration and test them in numerical simulations. You will pursue your research with the German research collaboration
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interest in developing theoretical models and methods as well as in implementing numerical optimization techniques Interest in working closely with experimentalists Detailed knowledge of quantum physics and
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, pedagogic study, and other fields. What unites faculty is an overriding concern for the organization of the human within its multiple environments: work, technology, nature, economy, civil association
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advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow
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health behaviors. The position may include some classroom teaching in statistics and/or research methods. The position affords opportunities for professional development and advancement, with guidance
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Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk
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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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at addressing a new class of outstanding PhD researchers from all over the world. Successful candidates will receive multiple doctoral degrees. Course organisation The EDLE programme is carried out with
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detection, diagnosis, and intervention for Autism Spectrum Disorders (ASD) and other conditions impacting social development. Supported by multiple funding bodies (e.g., DFG, BMBF, Rett Syndrome Foundation
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applications in parametric modeling environments, including beam, shell, and solid-based elements. Creating a robust foundation in FEM theory and numerical methods, enabling the candidate to specialize in