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career. KEY RESPONSIBILITIES Development of machine learning & deep learning algorithms to augment clinical decision-making and guide the development of new therapies and diagnostics. Carry out high
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-147422OB-I00 Job title: Next-Generation Machine Learning Algorithms for the Analysis of Medical Sleep Recordings Research line / Scientific-technical services: Does not apply JOB LOCATION AND SCHEDULE: CITIC
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-147422OB-I00 Job title: Next-Generation Machine Learning Algorithms for the Analysis of Medical Sleep Recordings Research line / Scientific-technical services: Does not apply. JOB LOCATION AND SCHEDULE
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
skills, and technical writing. Capacity to successfully develop collaborative research links with national and international research organizations. Strong teamwork skills, ability to adapt
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models and reconstruction algorithms. Develop or adapt scripts (e.g. in MATLAB, Python) to facilitate data analysis workflows. Prepare scientific reports, publications and presentations to disseminate
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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. Specifically, its activities will be developed in the following areas: - Design and creation of technical content and audiovisual material about IA algorithm, machine learning techniques and IoT. - Support to
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. Development and experimental validation of control algorithms in a laboratory environment. Communicate and disseminate research results through high-quality scientific channels including high impact scientific
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within a Research Infrastructure? No Offer Description Mission: Perform technical support tasks to implement control in a mineral processing plant. Functions to be developed: Design and assemble printed
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are seeking to recruit Research Assistant for the ICSO research group at the Research Centre for Ethical Technologies and Connectivity for Humanity (UOC-TECH) at the UOC. The aim project is to train Machine