334 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" "St" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
ideas - and the people who discover them The Opportunity The Department of Data Science and Artificial Intelligence at Monash University is looking for a Lecturer or Senior Lecturer to contribute to our
-
processing, histological handling and organoid expansion Conduct biological assays and contribute to data collection and analysis Maintain laboratory facilities, equipment, stocks and ordering systems Support
-
required to submit A cover letter that includes how you meet the criteria list above regarding current course and WAM information. A 1000-word essay to arts-mjlec@monash.edu explaining why you wish to become
-
, data management and reporting Drive trial start-up activities across Australian and New Zealand hospital sites Support and mentor research coordinators and site staff, fostering excellence in trial
-
information and a confidential conversation please contact Jenny Sutton via email at jenny.sutton@odgers.com or Sophie Malone sophie.malone@odgers.com Pro Vice-Chancellor (Researcher Development) | Odgers
-
agreed service standards. The role coordinates and operationalises curriculum lifecycle activities including enquiry management, curriculum governance processes, data and reporting, publications and
-
invitation to apply from the relevant faculty before beginning your application. For more information visit our website or contact our Graduate Research Admissions team on E: mgro-apply@monash.edu or T: +61
-
. For more information visit our website or contact our Graduate Research Admissions team on E: mgro-apply@monash.edu or T: +61 3 99051538 Please ensure that you indicate that you are applying for the 'China
-
cell biology, molecular biology and biochemical techniques Working with haematological cancer cell lines and supporting in vivo mouse models Collecting, analysing and documenting research data and
-
significant health and disability policy reforms. The successful candidate will undertake data-driven, policy-relevant research using advanced quantitative methods, including causal econometric analysis and