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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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Field
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Basic calculus concepts with applications to business, economics, and the social sciences. Differential calculus for algebraic, exponential and logarithmic functions; optimization, linearization, and
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computer science or statistics A solid background in mathematics, linear algebra and statistics. Documented experience with Bayesian spatiotemporal modelling, including experience with the INLA framework
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software such as Unity, Unreal, or Godot - Experience with coding languages such as C#, Java, C++, or Python Preferred Qualifications - Linear algebra and Trigonometry skills Pay Rate $15.00/hour Work Hours
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language processing solution. Experience Required for Data Scientist: Python, TensorFlow, Infer.net or Caffe is required. Proficiency in relevant mathematics, such as linear algebra and multivariate calculus. Skilled
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shadows Strong mathematical education, in particular in relation to linear algebra Programming experience is a plus Ability to effectively communicate in written and spoken English Ability to work
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) • Familiarity with numerical linear algebra Required License/Registration/Certifications Job Duties: Plan, perform, and analyze targeted computational studies Contribute to writing proposals and papers Contribute
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curriculum, including courses in the calculus sequence and linear algebra. Qualifications: A doctorate (or ABD status) in mathematics or a closely related field is required. To be considered for this position
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with respect to academic credentials. Qualification requirements: Master’s degree or equivalent in computer science or statistics A solid background in mathematics, linear algebra and statistics
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statistics, regression techniques, statistical computing with R, probability, mathematical statistics, linear algebra, or more advanced statistics courses. Connecticut College values the contributions visitors
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have