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two systems must coexist around the same cryogenic environment, mechanical, optical and software adjustments will be necessary. The candidate will actively participate in the design and setting up
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or Aerospace Engineering. First-author peer-reviewed published papers (and/or under review) Demonstrable research experience involving integration of hardware and software of robotic systems. Demonstrable
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one first-author publication, accepted or submitted Experience with machine learning is a plus (e.g., Tensorflow/Keras/PyTorch). Experience with software containers and/or NextFlow is a plus
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are proficiency in Python, deep learning frameworks such as Keras, PyTorch, TensorFlow, or other related software stacks, and a solid background in machine learning, cybersecurity, or AI robotics, and the ability
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of autonomous flow reactors for chemical synthesis. The project aims at 1/ developing a new optimization Bayesian algorithm and 2/ improving the process-control software already developed in the team
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describe the neuronal and behavioral changes associated with pharmacological manipulations, through the development of scripts using software such as Python or Matlab. 1) Conduct electrophysiology
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techniques. e) Proficiency in the analysis and processing of experimental data, including the use of statistical and scientific software for its interpretation. f) Proven ability to work in a coordinated
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research within past five years. Preferred Qualifications: Ability to work independently to design and deploy methods at scale. Familiarity with hardware-software co-design, memory hierarchies (DDR, HBM
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
a collaborative spirit and a drive for problem-solving. You'll join a multidisciplinary team that values diversity and brings together expertise in software engineering, big data, clinical informatics