50 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" positions at Monash University
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this website but submit the Expression of Interest via the Monash Data Futures Institute Application Link: https://www.monash.edu/data-futures-institute/study/phd-scholarship/mobility-data-driven-planning
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qualitative and quantitative methods. Work on WP-2 will suit someone with an interest and aptitude for coding administrative data using large language models. It will require use of advanced quantitative
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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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proposals, and applicants are invited to develop entirely different proposals. Investigating theories/strategies of prompt completion and/or moderation in line with specific moral or ethical codes; Studying
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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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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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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