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Posting Details Position Information Posting Number PG191577PD Position Number 00111691 Position Type Post Doc FLSA Exempt Departmental Information Department ID 140301 - Civil Construction
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bugs by construction. However, just like mutex-based concurrency, message-passing concurrency is liable to bugs such as deadlocks—which can cause huge performance problems and correctness issues
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excellence (publications, open-source contributions, or comparable output) Desired Qualifications Experience or strong interest in the integration of language models with structured knowledge. Familiarity with
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allocation among competing alternatives. Specifically, he studies how organizational features, such as the structure of the decision-making process and the composition of the decision panel, shape
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their own research. The position provides a structured, supportive framework for developing scientific independence, with the clear objective of establishing an autonomous research direction by the end
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Recommendation Systems Build LLM-based agent systems for personalized career recommendation that operate over long-term user memory, structured experience representations, and continual information retrieval
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About the Role You will contribute to the construction and quality control of the ATLAS Inner Tracker (ITk). The ITk group at Queen Mary University of London has played a key role in the development
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challenges during integration in the AIT construction hall and later at the telescope site. You work closely with local scientists to guarantee that the developed software meets or exceeds ESO’s scientific and
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USNH Employees should apply within Workday through the Jobs Hub app The research position(s) are within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
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Python and common deep learning frameworks (PyTorch) • Excellent communication skills in English (German is a plus) • Independent, structured working style and experience in supervising students Preferred