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, Grasshopper, Python). Explore new trajectories for the advancement of AI-supported integrated architecture and its potential impact on the build environment. Contribute to developing open-source tools and code
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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. Knowledge of Python programming language, including experience in developing scripts and tools for data processing and analysis. Demonstrated ability to meet deadlines and deliverables. Willingness and
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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
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stockage supercapacitif (Maxwell Technologies) 0,294kWh 300V/23,5F; – 2 programmable electronic loads 1 dial (POWER +) 6kW 500V-50A; The recruited person will have access to STELLA platform (https
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Engineering (IMSE) at The University of Texas at El Paso (UTEP) https://www.utep.edu/engineering/imse/ is a dynamic department within the College of Engineering. The department offers one undergraduate degree
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Participate in the research group “Engineering Geology and Rock Mechanics” and FME RenewHydro (https://www.ntnu.edu/renewhydro ) Participate in international activities such as conferences Contribution in
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measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly
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effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation in teaching
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inference (using Python, C++, TinyML) Integration of sensing, signal processing, and communication subsystems Implementation and testing of industrial IoT communication protocols Experimental validation in