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methodologies, explainable neural networks, and hybrid methods for nowcasting visibility and cloud ceiling in an aeronautical context. 4) Develop automatic decision support tools for risk mitigation in airport
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. Key Responsibilities Research & Development: Integrate Physics-Informed Neural Networks or Reinforcement Learning to create realistic human movement and interactive social behaviors within XR
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network, and six centers and institutes that focus on cancer treatment and research, neuroscience, clinical and translational research, advanced biotechnology and medicine, environmental and occupational
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, and EHR data. Experience with modern deep learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and SciPy. Familiarity with convolutional neural networks (CNNs), graph
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radars provide increasingly rich 3D information, opening the door to more advanced scene understanding and perception tasks such as 3D object detection and free space estimation. However, current neural
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such as transformers, self-supervised learning, multimodal learning, generative models, graph neural networks, or foundation models. Experience with structural and/or functional brain modeling. Familiarity
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research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and six
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that keeps a productive lab running. Research and Scholarship: The core of this position is an independent yet lab-aligned research program centered on the neural circuit mechanisms of epilepsy, using in vivo
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environments, open-source genomics pipelines, and workflow management systems (e.g., Snakemake). Experience or knowledge of artificial intelligence, such as implementing neural network models, is advantageous
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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and