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limited to, college algebra, finite and discrete mathematics, precalculus, applied calculus, calculus, differential equations, and linear algebra. Required Education and Experience Requires a master’s
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we favor candidates with previous experience in X-ray imaging preferably for biomedical applications. You should Have a solid grasp of microscopy, electromagnetism/optics and linear algebra Be skilled
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qualifications Preferred candidates will have experience with programming tools (UNIX, bash, MATLAB/Python programming), a strong college math background (linear algebra) and/or statistics, and previous research
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linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
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Solid programming skills in Python Command of the mathematical foundations of machine learning (linear algebra, calculus) English at level B2 or higher (the working language is English) Desired
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to analyzing data Knowledge of high-performance computing, such as parallelization, the use of C++, or interfacing with specialized linear algebra packages Other Information: Work arrangement: On-site Candidates
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date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical linear algebra, and algorithm design. Proficiency in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
building with state-of-the-art research and teaching facilities. The MSI has research strengths in areas, including algebraic geometry, representation theory, number theory, algebraic and geometric topology
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
, representation theory, number theory, algebraic and geometric topology, non-linear partial differential equations, harmonic analysis, geometric analysis, mathematical data science, computational mathematics
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differential equations. The individual must be able to immediately program in the software SFEMaNS using object-oriented Fortran 2033 and MPI. The individual must be familiar with the linear algebra parallel