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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 | 9 days 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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, including language, gestures and eye-tracking data. Perform joint analyses of multimodal data. Write up the output papers, including the relevant literature review (covering linguistic typology and language
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. In the subconfluent regime, we recently observed in vitro a new mode of collective migration driven by asymmetric micro-rails (ratchets) whose period is smaller than a cell size. The project will study
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with surface science, defect chemistry, or heterogeneous catalysis is highly desirable, along with a track record of publishing in peer-reviewed journals. Technical knowledge: Expertise in electronic
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, research and innovation. As part of the Autonomous Pack project led by packaging tracking start-up GoodFloow, in collaboration with researchers at IMT, INRIA and IRCICA, and which aims to develop reusable
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candidates with: A PhD (or near completion) in immunology, cell/molecular biology, female physiology, aging biology, or related fields. A strong track record of research and publications. Experience with
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well as potential power deposition on accelerator elements and potential damage. •Subsequently perform the benchmarking of the accelerator model from the Bmad code to the Xsuite / RF-Track codes. This work will
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of optogenetic systems to activate TBRA in specific cellular subpopulations. 2. Characterization of phase transitions • Analysis of EMT and mesodermal markers: Immunofluorescence to track key markers (TBRA, Snail
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potential, as well as on the ability to initiate or contribute to collaborative proposals and to secure competitive research funding. You hold a PhD in physics and demonstrate an excellent scientific track
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prediction, uncertainty, and learning in real-world stimuli and track how they are encoded in neural data Develop tools to be used in audiological clinical to diagnose patients based on naturalistic