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requirements.- Maintain comprehensive documentation for audit and review purposes. Requirements - PhD in Science, Engineering, Business, or a related discipline; Masters' qualification may be considered on a
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-tier venues (e.g., ICSE, ASE, TOSEM, AAAI, EMSE), with at least 10+ publications, including multiple CORE A/A* papers. Demonstrated expertise in deep learning architectures, computer vision, and medical
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regimes of deep networks. Basic Qualifications: A PhD is required. We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics
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PRIMARY DETAIL - Salary Package: $109,272 (Level A, Step 6 - PhD awarded rate) p.a., plus 17% employer's superannuation and annual leave loading - Appointment Type: Full-time (35 hours per week
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broader mixed-methods evaluation framework • Support capacity-building efforts for local field teams and partners in evaluation design and data collection Requirements • Master’s degree or PhD in Public
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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analytics. Collaborate with team-members to develop and implement automated platforms for chemical applications. 3. Document research output including analysis and interpretation of all data, maintaining
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working with Prof. George Chen. Join a multi-disciplinary team at the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our
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detailing your education and qualifications, employment history, publications, and any other relevant information. A copy of your Bachelor’s, Master’s, and PhD academic transcripts and degree certificates. A
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field