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, Málaga Where to apply Website https://www.rfgi.es/ConvocatoriasPropiasFIMABIS/es/Convocatorias/VerConvocatori… Requirements Research FieldMedical sciences » Health sciencesEducation LevelMaster Degree
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Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca (IMIB) | Spain | 3 months ago
to apply Website https://rrhh.ffis.es/rrhh/ofertaEmpleo.jsf?id=1950 Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Skills/Qualifications Generation of novel ATMP products based
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Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca (IMIB) | Spain | 3 months ago
of therapeutic targets. Research Project PI-ISCIII (PI22/01042)", with the destination of the Foundation for Health Training and Research of the Region of Murcia. Where to apply Website https://rrhh.ffis.es/rrhh
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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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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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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
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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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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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(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