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Field
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related algebraic and analytic structures for the analysis and modelling of complex sequential data. Path signatures, originating in stochastic integration and rough path theory, provide expressive
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at a pilot facility. The candidate will develop a simplified, control-oriented dynamic process model. This model will be used to propose control structures and analyze them. An available complex steady
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cover letter explaining why your background is a good fit for this project. Where to apply Website https://jobrxiv.org/job/medical-university-of-innsbruck-27779-phd-position-gene… Requirements Additional
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verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability
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6th April 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in magnetohydrodynamic modeling of electric arcs in silicon
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from vascular lesions and blood, combined with genetic, clinical/epidemiological and imaging parameters from patients. We also perform in depth functional studies in animal and cell culture models
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(cover letter) Vision for teaching and research CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
a Research Infrastructure? No Offer Description Applications are open for 1 Research Studentship(s), within the framework of project Exploring Robotlike RObot behavioRs in users’ Mental Models (ERROR
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transformations. The project investigates a hybrid approach that combines deep learning with grammatical inference to develop models that are interpretable, efficient, and mathematically verifiable while leveraging
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academic and industrial. Please check the hub website for further details: https://www.liverpool.ac.uk/energy-transfer-skills-training-hub