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in C/C++ or Python. Knowledge of Linux (ubuntu), ROS 1 and/or 2, Gazebo and/or pybullet, Docker, git, Latex are a plus. Knowledge of SLAM, pose estimation, UWB, IMUs, VIO, LIO are a plus. Hands on
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Number req25560 Department Immunobiology Department Website Link https://immunobiology.arizona.edu/ Location Tucson Campus Address 1656 E. Mabel Street, Tucson, AZ 85721 USA Position Highlights The
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teaspoon languages, writing programs in the Snap! programming language (https://snap.berkeley.edu/ ), and learning to transfer their knowledge to industry standard notations like Python, Processing, and HTML
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to mitigate problems with underwater communication channels. Develop advanced signal processing algorithms for dynamic optical links. Program simulators and simulations with Python and MatLab. Write scientific
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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following
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Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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@upm.es Requirements Research FieldEngineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Nivel demostrable de programación en Python, Pythorch, Ontologias, Federated Learning
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. Duties/Responsibilities: 30% Lead multi wavelength analysis of solar flares, especially high-energy aspects using hard X-rays, gamma rays, and/or radio data, using Python software and performing imaging
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 12 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image