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-edge sensors with current computational tools and machine/deep learning. As a Postdoctoral Researcher, you will be a key member of our team responsible for designing the seamless integration
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aspects of research, conducting field research and development of physics guided machine learning models. The primary project focuses for this Part Time Research position deepening the understanding
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, dimensionality reduction and/or machine learning methods (e.g., Lasso, ridge regression) is highly desirable. Familiarity with neurostimulation, Parkinson’s disease, or neuropsychological assessment tools is
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the PhD, you will gain expertise in finite element modelling, electronic control and instrumentation, machine learning, experimental methods, and advanced signal processing. You will also build strong
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specifications, understanding units of measurement associated with different material types, measuring tools and unit conversions as needed to perform basic machining processes and metal cutting including the use
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, water quality and meteorological datasets routinely collected by water utilities. The student will have the opportunity of using state-of-the-art machine learning methods (predictive analytics) to analyse
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-temperature-superconducting (HTS) magnets for the machine–detector interface of the FCC project, within the “Accelerator R&,D” group at LAPP." Where to apply Website https://concourschercheurs2026.dsi.cnrs.fr/index.php
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or Full Professor in Applied Mathematics. The search is open to any area of Applied Mathematics combined with experiments. The successful candidate will be expected to bring an experimental component to
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component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in
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three lab courses. These method-based courses last up to five days and constitute an important element of the study programme, with students receiving intensive training in the latest methods and