17 structural-engineering-phd-"https:"-"Embry-Riddle-Aeronautical-University" Fellowship positions at Monash University
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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
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“Revealing Order in Organic Semiconductors with Cryo-Electron Microscopy.” The successful candidate will apply and develop advanced cryo-electron diffraction and imaging methods to uncover structure–property
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research environments. This role offers an exciting opportunity to contribute to cutting-edge research investigating the structure and molecular mechanisms of mitochondrial and photosynthetic complexes. You
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of Queensland), and Peter Dukes (University of Victoria). Key Responsibilities: Conduct independent and collaborative research in edge decomposition of graphs, fractional structures in graphs Work on well-studied
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people who discover them The Opportunity The Faculty of Engineering, Department of Mechanical and Aerospace Engineering, is seeking an exceptional Research Fellow – Acoustic Sensing to join an innovative
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advanced molecular and structural biology research Play a key role in laboratory leadership and capability Join a world-class biomedical research institute at Monash The Opportunity The Faculty of Medicine
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at the Clayton campus. This research-only Level A position will contribute to innovative projects in skeletal muscle tissue engineering, with a focus on understanding intercellular communication at specialised
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hold a PhD in chemical biology or a related life sciences discipline. Knowledge of metabolic and fibrosis indications would be advantageous. Please refer to the selection criteria for a complete listing
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. The successful candidate will hold a PhD in organic or medicinal chemistry discipline. Knowledge of metabolic and fibrosis indications would be advantageous. Please refer to the selection criteria for a complete
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for detection of steroid hormones at ultra-low detection limits using biophysical methods. The role is intentionally structured as a 50:50 appointment between the Faculty of Information Technology (Data Science