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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow in the Bio-Data Science and Education Laboratory to work on AI in mental health. The role will focus
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in aeroacoustics, with a strong emphasis on data analysis and a deep understanding of aeroacoustics fundamentals. Demonstrate excellent communication skills, both written and verbal, as evidenced by
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phases are as follows: Phase 1 – Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis
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, you should address the "advantages" mentioned above, as these will be taken into account when ranking the candidates. the names and contact information for two referees. One of these should be the main
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. the names and contact information for two referees. One of these should be the main advisor for the master's thesis or equivalent thesis CV transcripts and diplomas showing completion of the bachelor's and
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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industry, government, and professional bodies. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About the Food and Beverage
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knowledge within advanced modelling/analysis methodology Applicants must have hands-on experience working with model lipid membranes Applicants must be proficient with computer programing Fluent oral and
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the following tasks: Part A: Applicant Information Applicant Name Email Address PDF Appointment Start Date PDF Appointment End Date Department/Unit Supervisor/PI Name Supervisor/PI Email Address Part B: Funding
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
methodology, and translational research design. The participant will develop competencies in good clinical practice (GCP) standards, clinical trial ethics, protocol development, pharmacokinetic data analysis