Dr. Jennifer Bradshaw

Assistant Professor

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Biography

Jennifer Bradshaw is an academic with a focus on the field of computer science and engineering. She is particularly interested in the areas of artificial intelligence and machine learning. Her research encompasses the development of advanced algorithms and their applications in various domains, including health informatics and data science. Jennifer has contributed significantly to the understanding and implementation of machine learning techniques, particularly in improving predictive models. She is actively involved in projects that aim to enhance computational methods and innovate solutions in technology-related challenges. Through her work, she seeks to propel the integration of AI in practical applications, making a strong impact in her field.

Research Interests

Requirements for University of Melbourne

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:16
Reading
Required:16
Writing
Required:19
Speaking
Required:19
Total
Required:81
PTE
Listening
Required:60
Reading
Required:60
Writing
Required:60
Speaking
Required:60
Overall
Required:64
Prerequisites
Undergraduate degree in a cognate discipline (Computer Science, Data Science, or Statistics) MAST10006 Calculus 2 MAST10007 Linear Algebra At least 12.5 credit points of computer programming subjects
Application Checklist
  • Academic Transcripts
  • Graduation Certificate
  • Evidence of English Proficiency
  • CV/Resume
  • Statement of Purpose