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Field
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, and working with partners. Skills / Knowledge / Abilities Does this position have supervisory responsibilities? No Preferred Education/Experience PhD graduate or candidate Deadline to Apply 09/29/2026
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invites applicants who share our mission and wish to pursue a PhD in Educational Policy. Educational policy is concerned with how educational problems are defined, how policies are formulated and
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support for the lab Job Requirements: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in world model, computer vision and deep learning
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
and molecular bases of chronic health conditions and/or human disease. A variety of experimental approaches, encompassing in vivo, in vitro, and in silico models, will be considered. Candidates
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, numerical modelling, data processing, and the preparation of research reports. Organizational Status Reports to the Professor and the Research Associate responsible for the project. Works collaboratively with
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(NSW), Queensland University of Technology (QLD). Tenure: Specified term of up to 3.5 years for PhD and 2 years for MPhil. Expected Scholarship Start date: No later than 30 June 2027. Scholarship
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and screen genetically encoded peptide libraries in cancer cell models, with the aim of identifying molecules and mechanisms that influence cancer cell behaviour. The role offers an excellent
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combines large language models, real-world data, behavioral science, and theory-driven modeling to build realistic and interpretable simulations for emergency planning and risk communication. The student
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to gain deep, publishable experience before a PhD or industrial R&D career. About the Person The successful candidate must have, and your application should clearly demonstrate that you meet the following
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responsible for generating and analysing data from lab-based activities. These activities will involve heterologous expression of fungal effectors in model yeast and plant systems. All work activities will be