Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Stage 1: Apply to the University of Melbourne (application deadline is the end of January) Submit application through Study Abroad Research program (SA-RES) Indicate that you are seeking CSC Visiting PhD
-
details of 2 academic referees Copy of your current passport (if available) Once you have discussed your EOI with Suzy Killmister please submit your Expression of Interest Form and indicate that you are
-
practices in professional physics and students' engagement in these practices The role of agency in students learning physics practice A mixed-method, longitudinal study on factors related to retention in
-
Location: Turning Point, 110 Church Street, Richmond Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: There are various scholarships offered by Monash University to support
-
available information or data exist about the numbers or characteristics of people held in police custody, or their experiences of detention. Using a mixed methods qualitative research design across
-
discipline Demonstrated experience in empirical research (quantitative, qualitative, or mixed methods) Strong written communication skills A clear interest in interdisciplinary research on AI, decision-making
-
Kalman, please submit your Expression of Interest Form and indicate that you are applying for a “Special Scholarship Scheme – PhD Scholarship in History”. Application Close: Monday, 29 September 2025, 11
-
engagement or workshop facilitation Interest in multi-method or mixed-method research approaches Note: applicants who already hold a PhD degree will not be considered. Research Environment You will be based in
-
(if applicable) Names and contact details of 2 academic referees Once you have discussed your EOI with a named supervisor, please submit your Expression of Interest Form and indicate that you are applying for a
-
, or spatial relationships of objects—and to indicate when it is unsure about its input. Key expected outcomes include the creation of monitoring algorithms that identify early signs of performance issues, and