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developed: Collaborate in studies of a combinatorial optimization problem of current interest. Propose new algorithmic solutions for its resolution. Cooperate in the extensive experimental analysis
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developed: Collaborate in studies of a combinatorial optimization problem of current interest. Propose new algorithmic solutions for its resolution. Cooperate in the extensive experimental analysis
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Infrastructure? No Offer Description Mission: Develop and apply a new causal representation learning methodology to address key challenges in biomedicine. Functions to be developed: Develop a new framework to
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on signal acquisition and development of algorithms for wearables and radiofrequency contactless sensors. The contract will be within the framework of the “Advanced Unintrusive Remote health Assessment” (AURA
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on the development of algorithms for ECG signal analysis and validation of novel biodegradable ECG electrodes. The contract will be within the framework of the “Green Electrodes for Sustainable Electrophysiology
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Offer Description Mission: Provide support in the longitudinal acquisition of pediatric polysomnographic (PSG) records and contribute to the development and validation of multichannel algorithms
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Infrastructure? No Offer Description Mission: Implement an optimization method in the general methodology developed. Functions to be developed: Develop a data optimization module using Python, based on criteria
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also apply. Prior experience Particular consideration will be given to candidates with experience developing deep learning algorithms for imageprocessing and analysis. Years of Research ExperienceNone
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, Rprogramming and developing statistical packages. Specific Requirements Candidates must have proven experience developing and maintaining R packages, solid skills in ML algorithms, and familiarity with
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Community Code (IAC3, http://iac3.uib.es ) is seeking scientific software developers to join our team and contribute to computational activities within the Veni research programme (Veni.222.396) supported by