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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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scale. The successful candidate will be responsible for: safely shredding cells using a bespoke instrumented, stabilised shredder; recording data for LCA including mass and energy balances, energy and
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catalytic systems. The postholder will develop and apply advanced simulation techniques, analyse molecular simulation data, and contribute to collaborative research combining computational modelling with
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disciplines or an equivalent qualification. Applicants are invited to contact Prof. A. Ping Zhang at telephone number 3400 3336 or via email at azhang@polyu.edu.hk for further information. Conditions of
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within the Institute. This role is suitable for individuals who hold, or will have been awarded by the start date, a PhD/DPhil in AI Ethics and/or Data Ethics and/or Neuroethics and/or Philosophy
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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demonstrating sustained leadership in service and external engagement. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of
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testing, instrumentation, data acquisition systems, and numerical or analytical modelling of fatigue damage will be considered an advantage. motivation and potential for research within the field
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, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches, the project will provide practical models for hazard
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into account when ranking the candidates. 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