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Field
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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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. Functions • Develop code and workflows for systems biology and analysis of proteomic and transcriptomic data, supporting researchers. • Develop AI and deep learning algorithms to facilitate image analysis
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controlled turbulent flow conditions. Functions to be developed: Design and build an experimental device to study the growth of biofilms under controlled turbulent flow conditions. Plan and execute
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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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(each monthly payment includes the amount corresponding to the extra payment for that month). 2.5. Tasks to be carried out: - Developing, studying and evaluating automated image classification methods
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(Task T2.4). Implement algorithms for training with limited data (Task T3.1). Develop prototypes for use cases in Smart Cities (Task T4.3). These tasks are part of the IDEALCV-CM project, reference: TEC
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selected candidate will be deeply involved in the development and execution of advanced PIC testing methodologies within the PIXEurope project, contributing to both technological development and application
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team in experimental activities and technical tests. Participate in the preparation of technical documentation and reports associated with the development of the project. Where to apply Website https
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payment for that month). 2.5. Tasks to be carried out: Developing deep learning methods for processing multimodal data and data for analysing temporal information. Developing computer vision algorithms with