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, and Rust for speed-optimized algorithm implementations. Projects will entail development of command line tools, APIs, and cloud-based web services (both public and private cloud). Establish and maintain
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analysis using simulation-based inference (SBI) with domain adaptation techniques. The work centers on developing robust, transferable inference pipelines that bridge the gap between synthetic simulations
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mHealth acquisition systems based on smartphones and wireless sensors. Design and development of algorithms for multimodal biomedical signals analysis based on advanced signal processing and AI models
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this project, you will design a system and develop a first feasibility prototype for such a device, based on photonic sensing technology and advanced data analysis techniques. Your responsibilities include
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of developed algorithms and their deployment. Support in data collection and documentation of the work performed. 4. REQUIRED PROFILE: Admission requirements: Master's degree in Biomedical Engineering
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wide range of components developed and maintained in-house, in addition to third-party tools, libraries, frameworks and technologies. See Why Join Us at https://www.rcsb.org/pages/jobs#whyJoinUs Posting
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(https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically meaningful disease endotypes from heterogeneous, multimodal
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University Abu Dhabi, seeks to recruit a motivated research or postdoctoral associate to lead the design, development, and validation of material, control systems, and algorithms for next-generation soft
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project consists in the development algorithms for the indirect estimation
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analysis of data from wearable and clinical monitoring devices and clinical databases. Experimental evaluation of algorithms, development, and deployment. Support in data collection and documentation