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Field
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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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techniques—particularly convolutional neural networks (CNNs)—will be applied to identify complex canopy patterns and classify successional stages. Mandatory requirements: Ph.D. in Remote Sensing, Forest
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techniques including graph neural networks, Bayesian neural networks, conformal prediction intervals and generative AI for synthetic data generation. You will also develop frameworks for uncertainty
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source and made available to researchers, for example to calibrate the hyperparameters of a neural network. Definition of research activities and tasks to be accomplished: To meet these challenges, we
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-informed neural networks (PINNs) and potentially generative adversarial networks (Pi-GANs). These models aim to predict cell fate and tumor development in CRC. The postdoc will collaborate with both
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Los Alamos has been rated #3 in the Best Counties to Live in the USA. Apply Now https://lanl.jobs/search/jobdetails/sparse-neural-network-design-post-doctoral-research-associates/e80bfca8-271e-4be8-b205
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staff position within a Research Infrastructure? No Offer Description Title: “Synthetic Dataset Generation Technique to Optimize Neural Network Training for Seismic Data Prediction” Research Area
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research in network, cellular, and molecular neuroscience that helps us to understand the neuronal and glial basis of integrative brain function as well as their molecular underpinnings. INCC physicists
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research project “Is the brain network involved in sentence comprehension replicable and robust?”, led by Dr. Jurriaan Witteman. The project will investigate the neural mechanisms underlying sentence-level
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staff position within a Research Infrastructure? No Offer Description This research project aims to develop a synthetic dataset generation technique to optimize the training of neural networks (NNs