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, Computer Science, Data Science or a related discipline Solid knowledge of Probability Theory, Linear Algebra, and Analysis Experience with PyTorch; familiarity with probabilistic modeling and Gaussian Mixture Models
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within adaptive manufacturing systems What you bring to the table Enrollment in Mathematics, Computer Science, Data Science or a related discipline Solid knowledge of Probability Theory, Linear Algebra
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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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• Grundkenntnisse in numerischer Mathematik, Differential-/Differenzengleichungen und linearer Algebra • Programmierkenntnisse in Python (z. B. NumPy, SciPy, Matplotlib) von Vorteil • Interesse
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through publications in relevant journals; solid quantitative/statistical background (e.g., probability theory, linear algebra, optimization) Strong expertise in at least one of the following areas, with
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mathematics, e.g., probability theory, linear algebra, differential/integral calculus Prior programming experience in Python is a must, C++ and CUDA experience are a plus Hands-on experience in working with
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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
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science, information technology, electrical engineering, physics, mechanical engineering, or a comparable qualification Very good knowledge of mathematics, especially in linear algebra and numerical optimization Understanding
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of linear algebra and numerical optimization Understanding of statistical modeling and inverse problems is desirable Experience with programming languages like Python, MATLAB, or C++ Joy in dealing with