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contribute to the excellence of our academic community. We are looking for a postdoctoral researcher with expertise in Bayesian hierarchical spatio-temporal statistics and measurement error methods for a 3
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
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with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation Implementing machine learning approaches that preserve physical constraints while handling
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to the project or projects weekly; 2) identify and/or develop hypotheses and methods for advancing the research effort; 3) design and carry out computer experiments; 4) attend the meetings of the PIs research
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photosynthesis), in order to estimate the carbon sink/source effect linked to the cloud microbiota, and its dependence on environmental variables. The person recruited will participate in cloud sampling operations
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: Integrate uncertainty estimation (ensembles or evidential methods) to prioritise new calculations and improve data efficiency. Integration: Export learned Hamiltonians to downstream simulation tools for band
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postdoctoral fellowships. 1. Robust Methods for Volatility Estimation with High-Dimensional Data — design, implementation, and computational analysis. Supervisor: Prof. Luiz Koodi Hotta. 2. Forecasting Methods
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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 1 hour ago
standard software used for FRB or pulsar searches and analysis Practical experience in applying Machine Learning methods to data Experience with computer clusters and HPC Willingness to supervise Masters/PhD
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method and to optimize this method for realistic high-performance computer calculations. Subsequently, this newly implemented method will be used in combination with embedding techniques to describe
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peer-reviewed journals and conferences. Preferred Qualifications: Experience with black-box modeling of wind turbines and converter-based power systems. Knowledge of Lyapunov-based methods, nonlinear