40 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "U.S" uni jobs at Monash University
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processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based
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, Statistics and Computing, Vol. 10, No. 1, Jan. 2000, pp73-83 Wallace, C.S. and P.R. Freeman (1987). Estimation and inference by compact coding. J. Royal Statist. Soc. B, 49, 240–252.
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fee waived. Please request a waiver code from asiascholarship@monash.edu before you submit your course application. More information and entry requirements for international undergraduate courses 2025
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for this scholarship will have their $125 course application fee waived. Please request a waiver code from asiascholarship@monash.edu before you submit your course application (include your country
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Epilepsyecosystem.org as a way to bring researchers, code and data together from all over the world to help solve the problem of seizure prediction. Required knowledge Machine learning, AI, signal processing, dynamical
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to code, preferably in C, C++ or Rust, is also necessary. Candidates with experience or interest in cutting planes, polyhedral geometry and graph theory are especially invited to apply. A fully-funded
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/C++) computer codes implementing a cryptographic algorithm. Although desired, background in advanced cryptography is not a must. Application of a PET algorithm to solve a real-life problem: This
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Length and Kolmogorov Complexity, Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp270-283 Wallace, C.S. and P.R. Freeman (1987). Estimation and inference by compact coding. J
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). Estimation and inference by compact coding. J. Royal Statist. Soc. B, 49, 240–252.
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this scholarship: Students must maintain full-time enrolment and satisfactory academic performance as determined by the faculty. The Unit Codes: BEX3024 Industry Based Learning Project Unit BEX3012/3112 Work