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advantage Experience in radar image processing, classification, multi-temporal analysis, and data fusion, using advanced automatic analysis methods such as deep neural networks and artificial intelligence is
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research projects. Preferred Qualifications: Experience in image grading, image analysis, machine learning, clinical data analysis, and clinical study design is desirable. Knowledge of neural network and
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processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large
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machine learning, particularly convolutional neural networks (CNN) and siamese networks; English language proficiency. Requirement for granting the fellowship: The applicants may apply without prior
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. This PhD will focus on uncertainty-aware machine learning models, developing and evaluating techniques (e.g., Bayesian and interval neural networks) to quantify model uncertainty and monitor it during
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
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recognition, brain-inspired or spiking neural network approaches, predicting material properties, optimizing processing parameters for next-generation energy technologies, analysis of “big data” generated from
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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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), 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-trained transformer model
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, Experimental Research Methods, Explainable AI, Global Strategic Planning, Graph Neural Network (GNN), Hypothesis Generation, Inclusive Practices, Integration Services, Interpersonal Communication, Knowledge