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CCSE - Associate Professor in Computer Science - Integrated Preparatory Cycle & Engineering Programs
structures, programming in Python, numerical methods, and the digital foundations of data analysis and artificial intelligence, through lectures, tutorials and computer-based sessions Annual teaching service
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programming and simulation tools, such as Python, C/C++, MATLAB/Simulink, ROS/ROS 2, Gazebo, AirSim, or equivalent platforms. Experience in the experimental implementation and validation of robotic systems
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relevant research areas Proficiency in Python programming Excellent written and verbal communication skills in English Writing scientific papers and exploring new technologies. Application and Selection
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/ Deep Learning Knowledge of: Active learning, Bayesian optimization Reinforcement learning or decision-making systems Experience with: Python ecosystem (PyTorch, Scikit-learn) Data pipelines and
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to autonomous systems is considered an asset. Proficiency in relevant programming and simulation tools, such as Python, C/C++, MATLAB/Simulink, ROS/ROS 2, Gazebo, AirSim, or equivalent platforms. Experience in
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methods is a plus Programming experience in MATLAB and/or Python Familiarity with process simulation software such as Aspen Plus or Aspen HYSYS Application and Selection: The application folder must contain
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experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control methods is a plus Programming experience in MATLAB and/or Python Familiarity
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to enable the rapid evolution of applied research through the various TRL levels to development and manufacturing. Work with members of SUSMAT – RC, other faculty members, companies, and different consortia
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CBS - Development and Optimization of Separation Processes for Water Treatment and Resource Recovery
; Characterize feed solutions and the different streams obtained after separation; Evaluate the performance, stability, regeneration, and reusability of separation materials; Propose hybrid configurations
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for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Physics, Chemical Engineering, and Environmental Engineering focusing on different