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Knowledge of medical imaging Good knowledge of image processing Good knowledge of signal processing Good knowledge of AI for medical imaging Ability to use computer programming tools Ability to use word
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and adapted tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless
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techniques, or a profile with initial training in biology/microbiology with a minimum of skills in physics and engineering (instrumentation, signal processing), with a strong desire to invest in engineering
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Requirements Remote work 2 days per week. Research FieldEngineeringYears of Research Experience1 - 4 Additional Information Selection process Applications must be sent to job-ref-362uyp218a@emploi.beetween.com
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Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat | Poitiers, Poitou Charentes | France | 2 months ago
facilities. These materials, originating from ore processing, still contain potentially recoverable substances such as precious metals, but also toxic elements like arsenic, sulfur, or reagents used during ore
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to develop Computer Vision algorithm and Interfaces for collaborations with Historians teams. Specifically, the research will focus on structured data with clear repeated patterns, such as characters in a text
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Arkema, the LAMPS (Light for Advanced Materials and Processes) laboratory. The selected student (M/F) will work at the Mulhouse Institute of Materials Science and will be affiliated with the doctoral
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low-temperature plasmas, covering deposition, fundamental aspects and process optimization trough AI. The work will be performed at Ecole Polytechnique in Palaiseau, France. Starting date : December 2025 at last
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mechanical structures, systems, and processes. Our areas of activity are in line with those of the mechanical engineering industry, with a particular focus on projects in the fields of aeronautics, space
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influence the social regulation of activity (the set of processes collectively implemented to plan, monitor, and evaluate the activity), potentially hindering smooth collaboration and learner engagement