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modelling approach, and dynamic Bayesian Networks would be advantageous. Willingness to conduct research in a multi-national project team. Funding requirements: You cannot have resided in The Netherlands in
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Science, such as: Optimization, Machine Learning, Statistical Learning, Applied Probability, Graph Theory and Network Science, or Computational Statistics, with opportunities for cross-disciplinary
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prepares data for submission to public repositories and collaborative networks. Conduct statistical and spatial analyses of ecological and climate datasets. o Implement software, hardware and workflows
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) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R
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focusing on defensive actions or neuromodulation in small neural networks have revealed significant deviations in typical behavioral patterns among larva populations. These deviations either necessitate a
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high-dimensional neural data. Approaches used include neural network-based approaches, Bayesian inference, and more Assisting with the oversight of day-to-day functions of the lab and shared lab spaces
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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, China [map ] Subject Areas: Network/Dynamical Systems and Statistics Appl Deadline: 2025/12/31 11:59PM (posted 2025/01/01, updated 2025/01/20) Position Description: Apply Position Description
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calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University. Detailed Description The Department of Actuarial Mathematics and
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https