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(pre-processing, filtering, feature extraction in the time, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models; integration and analysis
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or Phonetics Basic knowledge of machine learning tools; familiarity with a scripting language Ability to communicate and coordinate with different partners: field linguists, computer scientists, engineers
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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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AI systems and interpretable machine learning, System integration implementation, Test environment configuration, Validation and stress testing, Deployment and configuration in test environments
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8 Jan 2026 Job Information Organisation/Company Universidade de Vigo Department T03 Mechanical Engineering, Machines, and Thermal and Fluid Motors Research Field Engineering » Mechanical engineering
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
machine learning, 3D visualisation and real-time images (augmented reality). The main robot will the Tiago++, by PAL Robotics, which is a modern omnidirectlonal, bimanual robot. With the help of a PhD
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or equivalent Skills/Qualifications Technical Skills: R. Python. Specific Requirements Knowledge: Causal relationships between random variables. Machine learning algorithms. Professional Experience: Have
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involving combinations of theoretical physics, mathematics, and machine learning. While machine experience is not a strict requirement for the job, we anticipate that the strongest candidates will have clear
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of visualisation, machine learning, and human-computer interaction under the joint supervision of both institutions. The position is shared by TU Wien and USTP and offers the opportunity to conduct research at both
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positions by providing valuable experience, skills, and mentorship. Faculty Fellows teach two undergraduate courses each year relevant to their scholarly interests and experience, conduct research and