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and adapted tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless
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techniques, or a profile with initial training in biology/microbiology with a minimum of skills in physics and engineering (instrumentation, signal processing), with a strong desire to invest in engineering
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Arkema, the LAMPS (Light for Advanced Materials and Processes) laboratory. The selected student (M/F) will work at the Mulhouse Institute of Materials Science and will be affiliated with the doctoral
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mechanical structures, systems, and processes. Our areas of activity are in line with those of the mechanical engineering industry, with a particular focus on projects in the fields of aeronautics, space
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influence the social regulation of activity (the set of processes collectively implemented to plan, monitor, and evaluate the activity), potentially hindering smooth collaboration and learner engagement
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and graduate students each year, including many doctoral students, as well as postdoctoral researchers and visiting scientists. The laboratory covers a wider variety of topics than its name suggests and
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. It employs approximately 330 people, including 190 permanent staff members (researchers, lecturers, engineers) and approximately 140 doctoral students, postdoctoral fellows, and staff members on fixed
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hosts about 110 researchs active in the field of materials, surfaces, processes and structures. The neuro group is based in FEMTO's Department of Automation and Robotics, which hosts about 80 researchers
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offering a postdoctoral position in multi-messenger astrophysics related to the KM3NeT, SVOM, and COLIBRI detectors. The main objective is to complete the development and optimization of the KM3NeT neutrino
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- SOI) technology have shown to be excellent candidates for cryogenic temperature operation. Building on our previous studies and most recent results, the goal of this PhD is to implement microelectronic