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proposal for the PhD study Short letter of motivation (400 words/1 page) Possibly publications etc. other relevant research work Names and contact information of three relevant referees If all, or parts
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In this project, the selected candidate will join us in conducting research in statistical learning, developing data-driven methods to learn models of large-scale signals and systems from data
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of ion conductivity in complex battery materials on a large scale. Model‑generated data will be used to identify key relationships between material structure and ionic conductivity through advanced data
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models and Bayesian approaches to tackle complex, real-world data? Join this PhD project to build dynamic models and study cognitive variability using ecological momentary assessment (EMA). Join us We are
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 9 days ago
. This would enable semantics-preserving, collaborative data platforms for decentralized graph-relational ecosystems. Objectives of the PhD The overarching goal of this PhD is to establish the theoretical and
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understand where stars form, how stellar feedback changes their surroundings, and how matter moves through galaxies over time shaping them. Most of my research uses large astronomical data sets across
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judiciary Have experience with large language models, information retrieval, evaluation of ML systems, and deploying applications; this is highly desirable Have an excellent command of English; German
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Health emergencies, mass casualty events and disasters generate large volumes of operational, clinical and organisational data. However, these data are rarely synthesised into structured, analysable
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. RESPONSIBILITIES: Implementing laboratory and computational workflows for large-scale biological studies Collecting experimental and high-throughput data Characterisation of molecular and cellular mechanisms
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a Research Infrastructure? No Offer Description Work Plan The fellow will participate in the development and evaluation of a new large-scale data processing solution based on a decentralized