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: Completed master's degree in computer science, mechatronics, or electrical engineering. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage
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protocols (Python or dedicated software). You will join the NanoBioSurf team within the Laboratoire de Réactivité de Surface (LRS), as part of a CNRS prematuration program. This project aims to develop a
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imaging, both in vitro and in vivo. Develop, optimize, and maintain image analysis scripts and tools using Matlab/Python/LLMs (segmentation, quantification, post-processing), in line with the needs
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in written and oral English. Programming skills with Python. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills
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. Carry out the implementation of back-end and APIs. Manage the software life cycle. Perform container hardening, pentesting. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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. Carry out the implementation of back-end and APIs. Manage the software life cycle. Perform container hardening, pentesting. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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the capture and processing of signals from the robot's sensors. Cooperate in the simulation and field testing of robots. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment
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include the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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pipelines for data analysis, programming in C++ and Python, Intelligence Artificial. Proficiency in English (written and oral communication) will also be valued. 3. Work Plan: This work plan includes