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consider strong candidates in any research area but will prioritize Artificial Neural Networks. A PhD in computer science or a related area is required. The successful candidate will receive a competitive
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following areas: Probabilistic or Bayesian Machine Learning Variational Inference, Ensemble, or Diffusion Models Spatio-Temporal or Sequential Modelling Graph Neural Networks Deep Learning and Uncertainty
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interpretable, reliable, and scalable ML methods, neural quantum states, understanding the simplicity bias of overparameterized neural networks, or applying them to quantum systems, such as ultracold quantum
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sensing data using deep convolutional neural network (CNN) linking estimates of grazing pressure to purposefully collected data on plant indicator species and flower abundance, species richness and
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background in AI—such as knowledge of machine learning or neural networks—will be an advantage. The appointee is expected to conduct focused research, publish scholarly outputs in reputable, peer-reviewed
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background in AI—such as knowledge of machine learning or neural networks—will be an advantage. The appointee is expected to conduct focused research, publish scholarly outputs in reputable, peer-reviewed
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Technical Skills: Programming concepts. Java fundamentals. Specific Requirements Educational Requirements: Basic principles in cloud technologies. Notions of Artificial Intelligence. Fundamentals of Neural
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of the fundamental theory of deep learning along with significant experience in the development of software applications that employ neural network and deep learning approaches to computer vision, natural
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) and social security contributions, but excludes the employer’s contribution to social security. In Spain, the net salary is obtained by deducting from the gross amount the corresponding income tax (IRPF
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. random forest (RF), artificial neural network (ANN)) will be applied using the parameters of strongest influence on the target properties. Moreover, the obtained data will be fed into a generative pre