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Field
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of a novel detection technique. - activities: The work will involve experimental investigations using advanced single molecule detection tools. The net monthly salary is between €2,200 and €2,380
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for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within the Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical
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. Specific responsibilities include, but are not limited to, the following: Develop the core tensor network algorithm for full RIXS cross-section simulations. Benchmark simulation results against ED codes
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addition to supporting field and laboratory activities. They will integrate Net Primary Production (NPP) and the Gross Primary Production (GPP) data to construct a reference carbon budget and assess initial responses
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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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journals; - Participate in the life of the Center, contributing to scientific meetings; - Develop collaborations within the CBG network; - Offer short courses or minicourses; - Interact with graduate
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reputable international journals; - Participate in the life of the Center, contributing to scientific meetings; - Develop collaborations within the CBG network; - Offer short courses or minicourses
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and individual building level, directly contributing to reducing network congestion in the Netherlands. Your work will have real-world impact: the models you develop will be tested and validated
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artifacts (journal articles). Almost all of our simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor
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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