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tools in quantum information science will be advantageous. As the successful applicant, you will also have; ·A PhD Degree in Computer Science, Mathematics, Physics or a very closely related field
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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Psychology Program would be as the Unit Coordinator of postgraduate units delivered online. The successful applicant will teach into other units in the program in their areas of expertise. The role also
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industry collaboration. What We're Looking For: A PhD in Computer Science, Software Engineering, Information Technology, or a closely related discipline. Proven ability to initiate, develop, and sustain
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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successful in this position, you’ll have: A Master or Honours degree in Computer Science related field Demonstrated expertise in ML, with significant experience in designing and implementing large-scale models
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. The scholarship will enable a PhD scholar to pursue a full-time program of specialist research in Literary Studies or Creative Writing. We are seeking enthusiastic and committed graduate research students
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PhD Scholarship - Movement Metrics for Physical Health Job No.: 682825 Location: Clayton Campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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comprehensive technical or administrative knowledge. Your advanced computer proficiency, particularly in handling confidential client data in clinical settings, sets you apart. You are known for your autonomous