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. CANDIDATE PROFILE We seek an expert in fieldwork, and GIS-related analysis as well as with environmental knowledge of the functioning of river channels and floodplains in mountain areas. Additionally
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 4 days ago
will join the BOOST project team at Inria Paris-Saclay and contribute to two central work packages of the project: Integrating signal analysis and artificial intelligence for characterizing brain-heart
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, data analysis culminating in paper publication. The duties include proposal preparation, editorial work, presentation of results, outreach and career development. The group has a focus on studies of
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datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU
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languages: Unity, C#, R, Python, etc. Concept i on and development of visualisation tools Implementation of experimental protocols, experimental methodology Analysis of experimental data Use of eye-tracking
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(PRENCOG). This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non
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and service. Click here to learn more about how you can be a part of AgriLife and make a difference in the world! Position Information We are seeking a candidate with expertise in targeted and
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). Prior experience in medical imaging & analysis and/or computer vision algorithm development using high performance computing (HPC). Publications in peer-reviewed technical/clinical journals or machine
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of spectroscopy methods such as VNIR, SWIR and XRF as alternatives to traditional methods, Organization of field trips, data collection and lab work, Spectral data analysis, data processing, and model development