29 deep-learning-phd "https:" "Computer Vision Center" Fellowship positions at Monash University
Sort by
Refine Your Search
-
Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
-
, Isaac Gym, Habitat, AirSim) and experience in combining symbolic reasoning with deep learning approaches will be well regarded. This is an exciting opportunity for a motivated researcher to build
-
will have: A PhD (or equivalent experience) in medicinal or synthetic chemistry Strong hands‑on laboratory experience in synthetic organic or medicinal chemistry Excellent analytical, organisational, and
-
postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
-
well as alongside two PhD students also funded to work on the project. The research will be supported by Monash’s world-class research infrastructure in electron microscopy. This includes the Monash Centre
-
activities. The successful candidate will have: A PhD qualification in medicinal or organic chemistry Experience in the synthesis of small molecules An understanding of pharmacology and/or drug development
-
Rankings 2026. Learn more about Monash . Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. Monash supports flexible and hybrid working
-
econometrics and machine learning, is highly desirable. You are well-organised and capable of managing multiple tasks to meet deadlines, with excellent written and verbal communication skills for producing clear
-
commitment to academic freedom , you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash . Today
-
opportunities. Learn more about Monash . Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. Monash supports flexible and hybrid working arrangements