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well as in-situ weathered rock. Regolith science therefore encapsulates all research into the erosion, transport and transformation of minerals on planetary surfaces, as well as the interaction between
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, complicating the presentation of the neurodevelopmental condition. ORGANIZATIONAL STATUS The Research Assistant reports directly to Dr. Ipsiroglu. Interacts with research team members, faculty, project managers
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. The awards will be adjudicated by a committee chaired by the Strategic Advisor, Graduate and Postdoctoral Funding, of the Faculty of Graduate and Postdoctoral Studies. The Killam General Endowment
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the biochemical and structural features of the C. jejuni T6SS and effectors. The post will be based at LSHTM with Dr Ozan Gundogdu and his team. Candidates should have a postgraduate degree in a relevant biological
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Seek Environmental Research Assistant Three year fixed-term role supporting vital soil research through data analysis, academic support, and project coordination in a collaborative science team. Mō te
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goals leading to future work in that field. Further Information For further details, see the Government of British Columbia webpage: https://www2.gov.bc.ca/gov/content/environment/air-land-water/air
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Markaki groups and funded by the BBSRC to study the structure and function of proteins and protein complexes that are involved in the inactivation of the X-chromosome. The Schwabe group is looking for a
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About the role This research is a collaborative project between the Schwabe and Markaki groups and funded by the BBSRC to study the structure and function of proteins and protein complexes
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supervision of a postdoctoral fellow to study breast cancer initiation and progression using a newly developed mouse model of breast cancer together with primary patient samples. You will additionally learn a
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
USNH Employees should apply within Workday through the Jobs Hub app Position for a graduate student or adjunct to analyze ground magnetic field perturbations using machine learning techniques