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of Bayesian inference, data science, and machine learning. Experience in scientific computing in C++, Python, and/or Julia. Knowledge of electrochemistry and materials science (desirable). Ability to work as a
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, multisensory integration, or visual perception) using data analysis and machine learning techniques. Implement XR prototypes and applications to validate the developed models. Contribute to the publication
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learning and deep learning. Specific Requirements PhD in acoustics. Knowledge of acoustical measurement techniques, as well as physical acoustics. Some experience in acoustic signal processing and machine
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Research Infrastructure? No Offer Description Este contrato es parte del proyecto Machine learning optimization of heat pump architectures based on wireless power transfer sensors with high gain antennas
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. Experience with finite element software development. Experience with machine learning and data-driven modelling. Experience with high-performance computing. Previous scientific publications. Qualification
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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statistical software (e.g. Stata, R) • Advanced knowledge of statistical and machine learning methods for longitudinal data analysis • Familiarity with complex, longitudinal datasets from survey and register
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will include implementation and optimization of machine learning models, biomedical signal processing, software integration, support for mobile application development and experimental validation
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for cell transplantation therapies in animal models of Alzheimer's disease, stroke, and epilepsy. To achieve this goal, the candidate will combine a gene network-based approach with a machine learning model
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Python programming. ● Experience in monitoring code performance. ● 3 or more years of demonstrable experience in machine learning theory. ● Excellent communication and teamwork skills. ● Proficiency in