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Post-Doctoral Research Visit F/M Postdoctoral position in web security, privacy, and online tracking
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 17 hours agoopaque tracking techniques (e.g., server-side tracking, identity graphs...). Simultaneously, the development of AI and LLM is having a tremendous impact on the web by modifying its structure to better suit
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development of web-based curriculum materials Contribute to project reports and public-facing communications Required Qualifications Minimum of a PhD or Doctorate Digital Media, Informatics, Computer
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formalised in the Math-comp Analysis library. This is a 12-month contract, extendable to 24 months. - Conduct research as part of the ANR Diplo project whilst developing your own research project. - Share
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environmental impact. Developing new methods for pest and pathogen control is therefore essential to safeguard human health and meet the challenge of increasing crop yields, while reducing the use of chemical
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Brookhaven National Laboratory's Department of Nuclear Science and Security advances cutting-edge research, development, and technical innovation to ensure the safe and secure use of nuclear technologies
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team to primarily meet the postdoctoral recruitment needs of St. Jude Children's Research Hospital by developing and implementing effective recruiting strategies. This position requires travel
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platform Open Call. The Postdoctoral Researcher (R2-PhD) will contribute to all scientific and technical objectives of the 5G-BusNET project, focusing primarily on the development, implementation and
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established scholars and early-career researchers, it focuses on both producing cutting-edge scholarship and fostering the development of its members. Furthermore, Skatteforsk brings together academics, policy
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, recruitment, preparing progress reports for funder, liaison with trial participants, project staff and web developers, management of the project budget and ensuring rigorous and ethical implementation
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–based, web-enabled decision-support tool for farmers, using machine learning (random forest) predictive models. Working closely with the PhD student and PIs to ensure rigorous model development