76 phd-position-in-database-modeling Fellowship positions at University of Nottingham
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opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the area of of business administration (particularly in innovation, entrepreneurship, strategy
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-related tasks for the study. About you – You will have a PhD or equivalent in a relevant subject area, or be about to complete you PhD and be able to manage, plan and conduct research as part of the team
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the environmental impacts of proposed processes and compare them with conventional alternatives. • Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS, SimaPro, or equivalent
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the environmental impacts of proposed processes and compare them with conventional alternatives. • Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS, SimaPro, or equivalent
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of precision livestock technology data and epigenomic data and communication of results through scientific publications and presentations at conferences. The applicant must have a PhD (or be very close to
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reviewed publications. You will be a dynamic self-starter, exceptionally well-organised and have a positive attitude. Working with academics, researchers and PhD students in managing and conducting research
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will be a dynamic self-starter, exceptionally well-organised and have a positive attitude. Working with work with academics, researchers and PhD students in managing and conducting research activities
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will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio Candidates must hold a PhD, or be near
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Applications are invited for a Research Associate/Fellow position to work on an ERC funded project ‘WATER-BLIND’ which seeks to uncover how roots sense water stress. Building on our recent
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, genes, and pathways involved in sensing water in the model plant Arabidopsis. Building on our previous work (Mehra et al., Science, 2022), we aim to understand how hormone-driven pathways help roots