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, resource requests, and environment management. Desired Requirements: 1. Probabilistic modeling: scVI/scANVI/totalVI for RNA and RNA+protein integration. 2. GPU experience: PyTorch/CUDA for segmentation/model
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conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in-distributed-wireless-systems/ Distributed MIMO
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University is seeking a Postdoctoral Research Associate to work on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in
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Optimise and validate: Constrain free parameters using experimental data from muscle calcium imaging and behavioural recordings. Explore motor control: Apply computational approaches (probabilistic
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using modern Bayesian computing and probabilistic modelling tools such as Stan, TMB, INLA, PyMC. Experience applying reproducible research and team science tools and workflows (e.g. Git/Github
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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-theoretic methods: Demonstrated ability with methods such as stochastic optimisation, probabilistic reasoning, Bayesian/statistical modelling, dynamic decision models (e.g., MDP/POMDP-style thinking
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. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods, machine learning tools, and simulation techniques. If you thrive
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, artificial intelligence, and its applications to large scale data domains in science and industry. This includes the development of deep generative models, methods for approximate inference, probabilistic
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of Mathematical Sciences, University of Delaware The Mathematical Sciences Department (https://mathsci.udel.edu ) at the University of Delaware seeks to appoint two tenure-track assistant professors in the area of