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Introduction to Digital Archives and Methods is a moderately computationally intensive standalone course in History BA. This course is scheduled on Tuesdays 8 -12 and Thursdays 10 - 14 in weeks 6
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willing to learn. We imagine that you: have experience with quantitative methods and data management have experience with programming, for example in Python, R, or similar have an interest in AI
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Linguistics, or a related field) • Strong skills in machine learning and deep learning • Extensive experience with modern ML and NLP methods, including experience with experimentation, and with
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
suppression, and data compression techniques for TEM systems. • Integration of numerical methods into real-time drone-based TEM acquisition workflows. • Participation in the design, testing, and
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and energy-management methods for coordinating electrolyzers with renewable generation, power conversion, storage, downstream processes, and hydrogen demand. Apply and evaluate these methods under
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-noise) data. Develop and validate numerical implementations on simulated and real CT data. Explore and compare supervised and self-supervised machine learning/AI-based reconstruction methods with
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process modelling, numerical methods for uncertainty quantification and rare event estimation. Scientific computing, possibly with different programming languages (e.g., Python, Julia, C#, MATLAB
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Assistant Professor (tenure track)/Associate Professor in Structural Reliability, Risk and Resili...
, reliability and resilience analysis of civil engineering structures and infrastructures. Probabilistic modelling including stochastic process modelling, numerical methods for uncertainty quantification and
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tasks You will develop and validate digital-twin and optimization methods for electrolysis systems, working both independently and collaboratively with the group and with academic and industrial
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Tenure-Track Assistant Professor / Associate Professor in AI-Driven SW Specification, Development...
development, software architecture, distributed systems, cloud computing, cybersecurity, formal methods, cryptography, and quantum programming languages. The Department of Mathematics and Computer Science