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synthesis, mu-analysis and model-predictive control Experience in model identification, validation and uncertainty quantification based on experimental results Expert proficiency in the use of MATLAB/Simulink
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; solid familiarity with queer theory and queer of colour critique; previous knowledge of the topic and experience of archival research and cultural analysis; an excellent command of English (additional
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; experience with at least some of the following: Fourier—Mukai transforms, Hochschild cohomology, algebraic stacks, semiorthogonal decompositions, Hilbert schemes of points on surfaces; a strong interest in
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strong programming skills, experience with time-series data, and an interest in biomedical signals and open-source research software. Information and application Are you interested in this position? Please
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-relevant research environment. You have: A PhD (or a nearly completed PhD) in strategy, economics, innovation studies, political economy, public policy or a closely related field. Demonstrated experience
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interest in how technology shapes society). proficiency in Python, with hands-on experience in the open-source AI stack (HuggingFace, etc.). understanding that data in SSH is often messy, subjective, and
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shortcomings. Kidney transplantation is not available for 25% of the patients, while eligible patients wait years for donor kidneys, and recipients require lifelong immunosuppression and experience still
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networks, risk analysis or uncertainty quantification (preferred). Knowledge of data science in general as well as practical experience with conducting data science analyses with good programming skills
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, usable optical systems such as laser lock circuits and laser sources, iterating quickly based on experimental results and feedback. In parallel, you will contribute to prototyping, validating, and
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new experimental approaches and imaging strategies, and there is ample opportunity to initiate and coordinate experiments together with the PhD students while contributing to their supervision alongside