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22 Feb 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de l'ENS Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher
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methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
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» Algorithms Mathematics » Applied mathematics Researcher Profile Recognised Researcher (R2) Application Deadline 6 Mar 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable
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) - Isabel.neatrour@newcastle.ac.uk Weblinks: EJS ACT-PD study: https://www.ejsactpd.com/, Brain and Movement Research Team: http://bam-ncl.co.uk/ The Institute is part of the Faculty of Medical Sciences which holds a
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testing novel MOF materials for applications in carbon capture (https://doi.org/10.1016/j.xcrp.2022.101063). Successful candidates must have a background in MOF synthesis and characterization. Special
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processing capability; 3. Implementation of pre-processing, anomaly detection, and self-calibration algorithms; 4. Integration with IoT communication systems selected in Task 3.2; 5. Laboratory and relevant
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. Responsibilities Application of Domain Expertise: Maintain strong command of AI and machine learning concepts, including underlying science, math, and algorithms; stay current through reading publications, reviewing
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satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https://wwwen.uni.lu/snt/research
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oversee and develop algorithms for analyzing ensemble genomics data, single cell genomics data, single cell merFISH and sequential oligopaints imaging data, as well as novel molecular connectomics data
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between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective