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for integration into research workflows What you bring to the table Enrollment in Mathematics, Computer Science, Data Science or a related discipline Good knowledge of Linear Algebra and Probability / Statistics
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1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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(or equivalent) degree in Telecommunication Engineering or Computer Science. Good knowledge of signal processing and artificial intelligence. Good knowledge of linear algebra and optimization tools
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programming skills. Strong background in machine learning, statistics, linear algebra, and optimization. First research experience through peer-reviewed publications. In addition to the above, there is also a
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 5 hours ago
Strong mathematical foundation specifically in linear algebra, differential equations, and optimization Solid communication and teamwork skills Point of Contact Mikeala Eligibility Requirements Citizenship
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of numerical quantum many-body methods to study model Hamiltonians. Strong background in linear algebra. Preferred Qualifications: Experience with density matrix renormalization group and tensor network
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developing applied courses in areas such as math modeling, applied linear algebra, and/or actuarial and data science. An ability to teach at the graduate level in our Master of Science in Data Science program
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• Grundkenntnisse in numerischer Mathematik, Differential-/Differenzengleichungen und linearer Algebra • Programmierkenntnisse in Python (z. B. NumPy, SciPy, Matplotlib) von Vorteil • Interesse
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, possibly to include undergraduate research. Teaching assignments will be selected based on the successful candidate’s strengths and academic preparation, to include Calculus, Linear Algebra, and other
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practices such as unit testing and CI/CD Experience with MPI, Kokkos, OpenMP, CUDA/HIP Experience implementing or optimizing scientific libraries such as Linear Algebra Libraries, Solvers, FFTs/cuFFT