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with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction or a related field who enjoy making empirical, methodological, and technical contributions
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, and machine learning; and the development of ecological indicators for environmental monitoring in the Campos and Santos Basins, Brazil. Mandatory requirements Applications from people with training in
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Science, Signal and Image Processing, Computer Vision, Geomatics, or a related field, with skills in: -Python and/or C++ programming; -Image processing, 3D geometry, or computer vision; -Processing and analysis
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 1 day ago
https://jobs.inria.fr/public/classic/en/offres/2026-10507 Requirements Skills/Qualifications The position is open to candidates with a strong background in combinatorial optimization, evolutionary
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integration of novel computer architectures for advanced edge computing scenarios. The research involves design space exploration and the implementation of digital systems using FPGAs, with potential for future
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: https://cogtlab.stanford.edu/(link is external) Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University required minimum for all
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project TARGETWISE. The candidate will be responsible for conducting machine learning omics data analysis within the computational team. The details on responsibilities, obligations and rights
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/College/Area/ Campus - https://css.wsu.edu/ Area/College: College of Agricultural, Human, Natural, Resource Sciences (CAHNRS) Department Name: Crop and Soil Location: Pullman, WA Application Instructions
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Offer Description KEYWORDS: bioinformatics, metagenomics, metabolomics, cancer, machine learning, artificial intelligence Principal Investigator
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– NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and network telemetry. You will contribute to the development of a framework that reduces the carbon