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may also supervise PhD students and support junior colleagues. This post is full time and fixed term until 31/03/2028. Part-time working will be considered (minimum 0.8 FTE, 30 hours per week minimum
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close to completing) a PhD in statistical genetics, computational biology, bioinformatics, or a related quantitative discipline, with proven expertise in the analysis of large-scale sequencing data and
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at international meetings, and engage with collaborators across clinical and academic settings. Applicants should hold (or be close to completing) a PhD in statistical genetics, bioinformatics, computational biology
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Engineering, BSc in Electrical Engineering, BSc in Intelligent Systems and Mechatronics, BSc in Mathematics, MSc in Machine Learning, MSc in Mechatronics Engineering, PhD in Engineering Systems Management, and
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AI features in the Isabelle proof assistant and evaluating them on the benchmarks, when applicable Applicants should have already completed, or be close to completing, a PhD in a relevant discipline
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proposals and funding applications. Supervise or co-supervise undergraduate/postgraduate project students and/or PhD students. Deal with reactive requests relating to the developing needs of the translational
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evaluating them on the benchmarks, when applicable Applicants should have already completed, or be close to completing, a PhD in a relevant discipline. Applicants should be able to demonstrate scientific
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, including, for example, defence engagement, conflict resolution, gender studies, humanitarian and relief operations, international conflict and security law, defence budgeting and public finance. PhD
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with operational needs, Centre, School and University strategy and with consideration of the individual’s career goals and development plans. Essential criteria include: A PhD in a relevant discipline
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completed, or be close to completing, a PhD in a relevant discipline. Applicants should be able to demonstrate scientific creativity, research independence, and the ability to communicate their ideas