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should apply if You hold a PhD in Mathematical Statistics and Data Science. You have significant academic experience, including substantial post-PhD teaching and research achievements. You demonstrate
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, supervise doctoral and postgraduate students, and mentor early-career faculty to support their professional development. You should apply if You hold a PhD in Economics or a closely related discipline. You
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candidates with excellent academic and research records, and at least 3 years of post-PhD research experience, in the following areas: Advanced CMOS Devices (memory, RF) Photonics & Lasers (on-chip sources
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A completed or near completion PhD or equivalent qualifications and experience in Economics. M.A./M.Sc. or equivalent Master’s degree in Economics B.A/B.Sc or equivalent bachelor’s degree in Economics
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language of ‘omics data analysis. Applicants should have a PhD (or equivalent level of expertise) in molecular and cellular toxicology, with considerable experience in the computational and/or statistical
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internationalisation. Candidate Requirements PhD in Business Management, Management Studies, or related field, with academic and/or industry experience. Proven excellence in teaching, curriculum development, and
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institutional standards and policies Required experience/qualifications: PhD in a relevant discipline, preferably Bioinformatics, Data Science, Computational Biology or Computer Science Strong background in
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PhD in Engineering, Physics, Computer Science, Mathematics or a closely related discipline. You have significant academic experience, including substantial post-PhD teaching and research achievements in
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, & Qualifications: A PhD in a relevant discipline (postdoctoral experience is welcomed, but not essential) Broad scientific knowledge and training A keen interest and enthusiasm for the practice and communication
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parties Person Specification Qualifications, knowledge and experience DBA/PhD or equivalent professional qualifications and experience in the General Finance domain Detailed understanding and knowledge