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frameworks like RHEOS software, FEM models and machine learning concepts for large data sets generated will be explored with collaborators. Micro and Nano Engineering This position is embedded within
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and C++ as well as popular deep learning libraries such as PyTorch. Have a knowledge background in robotics and machine learning, and experience with developing real-time systems in ROS/ROS2 using
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Skills: High proficiency in Python programming languages. Ample experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and deep learning architectures. Knowledge of GNSS technologies and
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deep penetration of electric vehicles. Nevertheless, given the low energy density of batteries, there will remain a need for liquid hydrocarbons fuels for certain sectors such as aviation. Replacing
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PhD Position Mechanosensing ion Channels in Artificial Lipid Bilayers Formed in Microfluidic Devices
, engineering, or a related field. Successful candidates are motivated by a deep scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and to develop new methods
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-induced CO2 emissions is the main driver for decarbonizing the energy sector. Electrification will substantially contribute to this goal in the transport sector by deep penetration of electric vehicles
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hardware and real-world experiments. Have very solid programming skills in Python and C++ as well as popular deep learning libraries such as PyTorch. Have a knowledge background in robotics and machine