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processor selection to PCB design, FPGA/MCU implementation, firmware development, hardware debugging, and deployment of signal-processing and machine-learning algorithms. A significant part of the position
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lab's existing machine perfusion platforms for human and rat liver This will include learning the engineering design, assembly, and operation of the perfusion hardware; developing improved control
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makes a machine measurable. You will own a system from CAD through fabrication to hardware that still runs six months later If your focus is learning, you will develop policies and perception that run
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Partnerinserat Übersicht Postdoctoral Researcher – Iterative Learning Control of Industrial Systems 100%, Zurich, permanent Drucken inspire AG is the leading Swiss competence centre for product
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Fabrication: simulation, optimization, and learned surrogate models to design and fabricate efficient, bioinspired robots. Reinforcement Learning and Machine Learning: data-driven methods that let robots learn
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interpreted. While atmospheric retrievals might be an important starting point, the project may also involve complementary atmospheric modelling or alternative inference approaches, including machine learning
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, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong engineering experience will also be considered Experience in AI and neural network architectures Strong
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, Machine Learning, Medical AI, Biomedical Informatics, Computational Biology, or a related field Strong programming skills in Python and modern ML frameworks Experience with deep learning and large
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and, ideally, experience in VR research, particularly on the perception of time and space in virtual environments Strong quantitative skills (R, Python, or Stata; experience with machine learning or
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transport characterization Using first-principles calculations and machine-learning foundation models during the initial stage of the project to identify promising metastable compositions for experimental