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and digitizing archival data, strong knowledge of causal inference methods, good command of R and Python. Knowledge of machine learning methods is an asset. Strong command of English; command of either
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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or Phonetics Basic knowledge of machine learning tools; familiarity with a scripting language Ability to communicate and coordinate with different partners: field linguists, computer scientists, engineers
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software and hardware devices. Offer hardware and software support for all technology resources used in Student Life. Provide in-person, remote, and telephone support for computer hardware, software, and
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Ability to read, write and perform basic mathematics and effectively communicate via a computer Good work organization ability Knowledge of policies and procedures regarding building maintenance and
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the Norwegian educational system A solid background in machine learning, mathematics, linear algebra, and/or statistics is also required Solid knowledge and experience in Python programming is required Experience
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involving combinations of theoretical physics, mathematics, and machine learning. While machine experience is not a strict requirement for the job, we anticipate that the strongest candidates will have clear
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will also need strong organizational, prioritization, basic computer navigation skills, and a working knowledge of the Internet. Does this position have supervisory responsibilities? No Preferred
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will also possess: Prior experience with SELEX methods and basic knowledge of chemistry and bioinformatics workflows in preferred. Knowledge of computers and computer software related to the position
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training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years of postdoctoral experience