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operating in practice. The project will provide impactful and tangible solutions for practice, policy, and law reform to solve real-world challenges in the operation of VAD and be of wide-ranging national
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: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
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acceptance that this does not mean such trials should not take place. This implies the usual operating characteristics are not appropriate. However, there is no agreement on which alternative characteristics
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ADMISSION to HDR Those who apply for the scholarship opportunity that have not already applied for admission to a relevant HDR must also apply. Instructions on how to apply for admission can be found here: https://www.flinders.edu.au/study/apply/apply-research-degree/how-to-apply By lodging...
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4-Year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Overview Glycosaminoglycans (GAGs
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bind to protein ligands via sulphated residues that interact with positively charged regions within the protein ligand(s). The 3D organisation of these domains is therefore critical for their function
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Project advert Reckless Sleepers is an internationally-renowned performance company, situated between the Northwest of England and East Flanders, Belgium. Situated in the fields of scored
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PhD: Recognizing Multicultural Strengths of Youth via Social Networks at Work Faculty: Faculty of Social and Behavioural Sciences Department: Social Sciences Hours per week: 36 to 40 Application
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning