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control tools (TEXTURISE project). The TEXTURISE main objectives are: - To identify the key factors (such as raw materials characteristics and processing conditions) influencing the structure building
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tasks would be: Develop and implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and
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million frames per second, photon Doppler velocimetry systems, ultra-high sampling rate oscilloscopes, and advanced LED and laser illumination systems. The In-Situ Processing and Mechanical Characterization
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address Av. Granvia de l'Hospitalet, 199-203, 08908, L'Hospitalet de Llobregat, will process your personal data, as the controller, to apply for the position, maintain communication concerning the status
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of monitoring stations sites. Lab tests and data analysis: Lab work of standard and advanced geotechnical tests, performing quality control. Processing of monitoring and lab data, and facilitating the analysis
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obtained a University Degree and a Master’s Degree in biomedicine, epidemiology, computer sciences, environmental sciences, biostatistics, or a related discipline within the European Higher Education Area
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aims to accelerate materials development through digital methodologies, combining robotic automation of experimental tasks with artificial intelligence to optimize processes and establish composition
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research visits will be supported with up to €7,000 in funding, fostering global collaboration and visibility. The PhD will be hosted at the Language and Memory Control Group, BCBL (Severo Ochoa Centre
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Memory Control (LMC) research group at the BCBL , Donostia-San Sebastián, Spain. The successful candidate will conduct research in the THALNET project, which aims to comprehensively characterize
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain