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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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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
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wearable and clinical monitoring devices and clinical databases. Experimental evaluation of algorithms, development, and deployment. Support in data collection and documentation of the work performed. 4
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techniques exploring the evolution of relations between quartets of messages through encryption. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7503-EMMTHO-002/Default.aspx Requirements
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: Transparency. As part of this doctoral project, you will develop novel knowledge representation techniques, algorithms for human-in-the-loop optimization, and interactive tools that combine graphical and natural
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3 – Quantum algorithms for data clustering: Clustering algorithms are of fundamental importance when dealing with large unstructured datasets and discovering new patterns and correlations therein
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28417 PhD student (m/f/d) with a focus on epidemiology and tools for screening of Tuberculosis
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the resilience, safety, and security of critical infrastructures as core requirements. Moreover, it will boost the development and validation of novel AI algorithms, by the European AI community, through open
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
develop the motor control algorithms for the Vizzy robotic platform, implementing the migration of all YARP-based software modules to versions higher than YARP3.0, and creating interfaces for control from
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decrease by two orders of magnitude, so that testing of control algorithms in a wind tunnel environment requires algorithms that are a significantly faster than they need to be in the field. Instead, wind