122 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Monash University
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topic, the supervision team may include Dr Karen Alt, Dr Richard Amison (UK), Professor Christoph Hagemeyer, Dr Bianca Jupp and/or additional supervisor(s) with relevant expertise. Topics for PhD theses
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employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Dr Joanne Caldwell, Senior Lecturer
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Course Director of the BCom and BEc at the Clayton and Malaysia campuses. An enthusiastic supporter of the BCom Honours program, and educational opportunity in general, Dr Booth supervised a large number
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employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Dr Kate Murphy, Head of History, +61
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checks required for the role, as determined by the University. Enquiries: Dr Christine Findlay, General Manager, Christine.Findlay@monash.edu Closing Date: Please submit your application as soon as
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There are many approaches to hypothesis testing. The well-known approach of p-values has been drawn into question and even controversy in more recent years, even though criticisms reportedly date
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checks required for the role, as determined by the University. Enquiries: Dr Karina Brady, Program Manager - Transfusion Research Unit, karina.brady@monash.edu Position Description: Position Description
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employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Dr Christine Findlay, General Manager
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the work had largely relied on code written by a young open source developer, who did not receive any renumeration from the sale (and who in turn, relied on code and ideas developed by AI researchers and
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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