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candidates will be given the opportunity to talk to a member of staff representing women, BAME, LGBTQIA+ or disabilities communities. This will be separate to the assessment process and will play no role in
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frontier project focussing on the life sciences. Cross-Disciplinary Fellowships (CDF) are for applicants who hold a doctoral degree from a non-biological discipline (e.g. physics, chemistry, mathematics
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or additional faculty and staff appointments, as well as transfers from other U-M campuses. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process may
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simulations; (ii) diagnose and attribute the physical mechanisms driving inter-model differences in recovery; and (iii) design and run targeted mechanism-denial experiments (e.g., in CESM and related Earth
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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including dedicated support with navigating your career and managing research as well as a transparent promotion process. Sector-leading salary and remuneration package (including 39 days off a year and
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for an allegation of Gender‑based Violence or determined to have engaged in conduct that constitutes Gender‑based Violence during the course of their previous employment, or otherwise in a legal process. A
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contributions to shared project datasets. Candidate requirements Essential PhD (or near completion) or equivalent qualifications and experience in Acoustics, Mechanical Engineering, Physics, Signal Processing
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experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM
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published Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to