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Field
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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to data collection Operate within area of specialism Analyse and interpret research findings and results Contribute to generating funding Ability to communicate complex information clearly Main Duties
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regular team meetings Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods as
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related field, possessing a developing research profile and the ability to implement novel statistical methods using various computing programs. You may also: Have completed a PhD in statistics, applied
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skills and the ability to work collaboratively in a multidisciplinary, international research environment. You may also: Have a PhD in Resource Economics or a related discipline. Possess experience in life
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researcher with a PhD in Soil Science or Agricultural Science, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in an international, multidisciplinary
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intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate
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of the team, supervise MSc and PhD students and collaborate with other research groups. For informal inquiries please contact Prof. Simona Parrinello by email: s.parrinello@ucl.ac.uk For enquiries regarding
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Supervise students on research-related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake
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the University’s international reputation as a hub for cutting-edge research. Candidates must have a PhD degree in Power Electronics, Machines, and Drives or a closely related field, with a proven track record in