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.pdf JOB ADVERTISEMENT Recruitment of 1 Doctorate in the field of Research and development of new algorithms for processing and classifying physiological signals in ambulatory systems INESC TEC
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project focuses on developing ultra-reliable spatiotemporal (4D) predictions using trustworthy, distributed AI-driven intelligence deployed across heterogeneous aerial nodes. To achieve this, an aerial
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, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer
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university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. Certifications: --- Preferred
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, and benchmarking of novel algorithms on synthetic and real-world datasets Development and maintenance of open-source research software and reproducible workflows Collaboration with CRC partners across
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
) algorithms, etc. and Google Map APIs - Familiarity with Jira or similar software for agile software development, team collaboration and project management - Proficiency in software version control and
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algorithms, and experimental systems research, and is closely connected to advanced-level teaching in computer systems and cybersecurity. About the research project This doctoral student position is part of a
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robotics Goal-driven agentic AI Autonomous medical imaging Design of AI-enhanced medical devices Machine learning models and algorithms for medical signal processing Embedded AI Privacy-aware AI Foundations
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international programs in more than 150 countries. Occupational Summary The Social Media Specialist for Trinity College of Arts & Sciences develops and executes a comprehensive social media strategy across
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
learning in humanoid robotics for industrial applications. In this project, our goal is to recruit one to two engineers to contribute to: the development of deep learning-based vision tools adapted