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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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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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the evaluation, the intensification and the optimization of carbonation (biotic and abiotic) processes involving different feedstocks, to address three different applications of industry decarbonation, in straight
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the mechanisms of neurovascular coupling (NVC) in the human retina — a key physiological process whose early dysfunction is linked to Alzheimer's disease. The team has developed a new cellular-resolution imaging
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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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economy environments, intermediate systems have been developed to facilitate the processes of recovery, reuse, and recycling. However, in terms of energy systems, the processes of reuse, recovery, and
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 2 months ago
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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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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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