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. or M.D./Ph.D. in areas such as Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health
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analyses, latent modelling, multilevel modelling). Data Cleaning and Management. Engages both independently and under supervision in data management and data cleaning and organization in large (N~100,000
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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conducting research using large-scale routine or registry data, preferably in cancer. High-level proficiency / experience developing reusable analytical pipelines or modular code (in R, Stata, or Python) with
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experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development
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is voluntary. More information on the protection of personal data: https://port.lukasiewicz.gov.pl/en/data-protection/ Information about candidates applying for the above role is public information in
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and developing multi-agent systems for large language models (LLMs). Investigating the security challenges and information propagation theories in multi-agent system. Writing high-quality research
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addition to carrying out bench research using electrophysiological recording, the successful candidate will be expected to help develop data management software for managing and analyzing large volumes
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, electrical and optical characterizations. This position requires conducting translational research in next-generation large-area nanofiber acoustic sensor platforms in structural health monitoring applications
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3 Mar 2026 Job Information Organisation/Company CNRS Department Physique des lasers, atomes et molécules Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 23