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dysfunction and its impact on neuronal networks, building on the complementary expertise of a team with a strong publication record in reputable journals and proven experience in identifying nervous system
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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. (pierre.apostolides@umich.edu ). Job Summary The Apostolides Lab has multiple, fully-funded positions for postdoctoral fellows to undertake projects related to auditory perception, reinforcement learning, and neural
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learning for scientific applications, including hands-on experience with neural network architectures (e.g., CNNs, autoencoders, physics-informed or hybrid models) and modern frameworks such as PyTorch
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mathematical modelling, preferably with ordinary and/or delay differential equations, is a requirement. Experience with machine learning and neural networks is a requirement. Experience with model
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contributions into powerful, integrated systems that drive high-impact publications. Who We're Looking For Solid expertise in deep neural networks, especially using PyTorch Strong interest (or hands-on experience
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 16 days ago
the concentration-dependent response of human induced pluripotent stem cell-derived neural new approach methodologies (NAMs) to opioids and their reversal by naloxone. The participant will contribute to expanding
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
) Start to develop trainable Artificial Neural Networks for the identification of sequence patterns relevant for the function of the enhancers that harbor the respective NucAlts. Admission Requirements
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, computer science, data science, or similar · Strong publication record in peer-reviewed conferences and/or journals · Experience applying machine learning methods (especially deep neural network approaches
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in