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scalable methods for understanding the inner workings of large language models and developing functionally-grounded steering and control techniques. The successful candidate will contribute to frontier
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prototyping, fabrication experiments, development of experimental setups, material testing, design modelling and optimisation, and the preparation of workflows interfacing with robotic and construction
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. Going beyond the canonical sub-Gaussian noise models, the objective is to prove tight convergence rates for first-order or zeroth-order methods when the noise is heavy tailed. This allows us to reliably
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the applicant wishes to rely Copy of PhD diploma, if Phd diploma has not yet been received, please include statement from your supervisor Incomplete applications and applications received after the deadline will
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will be communicated by the end of February. For general questions about the fellowship, including eligibility and project ideas, contact Carolin Kilian. Where to apply E-mail caki@sdu.dk Requirements