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an on-call. On-Call allowed to work 1039 hours in any twelve (12) month period. Unit Position Summary Professional Aide to support a research project focused on developing estimation and inference
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systematic comparison of key modelling approaches and loss functions for age estimation, as well as the development of new, robust methods. To this end: Approaches to be implemented and compared
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communication skills, with motivation to publish in leading journals and conferences. Desirable Criteria Experience with advanced state estimation methods, including Extended/Unscented Kalman Filters and
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Munich, you will develop new methods in high-dimensional covariance estimation. Your job The position is part of an NWO-DFG funded research project on high-dimensional covariance estimation. You will
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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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we are looking for to apply and develop methods for large-scale species and habitat mapping and contribute to European biodiversity assessments? About the position You will work with developing and
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machine-learning methods with uncertainty estimation and validate the results using systematic biodiversity observation networks, spatial cross-validation, and independent national and regional
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the required laboratory tools Applying parameter estimation and optimisation methods, supported by sensitivity and identifiability analyses Parameterising and validating battery models using test-cell
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. Potential approaches include data-driven parameter estimation for white-box models, the development of black-box models using machine learning methods (e.g., neural networks) and their combination
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models and methods for radar signal processing (including signals from sources of opportunity) for parameter estimation. Where to apply Website https://www.uniroma1.it/it Requirements Additional