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Field
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. Indeed, the methods currently used rely on optical image databases of various avalanche observations. A deep neural network was trained on this data to enable automatic avalanche detection FIGURE 1 (a) [1
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CSAES - Postdoctoral in Experimentation and analysis of the dissolution and diffusion of different fertilizer formulations About UM6P: At the heart of the future Green City of Benguerir
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/Qualifications The successful candidate (m/f/x) is expected to actively contribute to the above project. The Post-Doctoral project should study the work and impact of (networks of) local and Indigenous plant
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the area of probability of statistical machine learning. They will possess sufficient specialist knowledge in network analysis and uncertainty quantification in machine learning and have the ability
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. The successful candidate will contribute to UNITY (Ultra-low-field Neuroimaging In The Young). UNITY is a multinational network of specialist neuroimaging centers and clinical partners led by King’s and funded by
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behaving mouse, network analysis would be a key asset; Strong interest in the brain research; Proficiency in English; Exceptional motivation for the scientific research (demonstrated via publications
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of these reusable packaging using IoT sensors and deep learning techniques embedded in the sensors. During the preliminary work, neural network models were developed to perform simple tasks using accelerometer data
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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to ensure adequate supply of vitamins and minerals from diets from sustainable sources. Using high-throughput biomarker and data analysis and modelling, Zero_HiddenHunger_EU will deliver credible evidence
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implement independent research projects. Strong skills in data analysis, visualization, and scientific writing are required. These skills are normally acquired through a Ph.D. in Physics, Network Science