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prepare, review and refine theories as appropriate. About You You will have or be close to the completion of a PhD/DPhil/DClin or other professional doctorate degree in a relevant subject, (e.g
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, and market and protocol design. The postholder should hold a relevant PhD/DPhil or be near completion in one of the following: Economics, Finance, Operations Research, Statistics, Econometrics
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
communication of results. Ensure strict adherence to health, safety, and environmental protection regulations in accordance with UM6P standards. Candidate Profile: PhD in plant ecology, environmental sciences
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murine BMT models, and donor graft manipulation and pharmacological interventions. Candidates should have a PhD or MD and a strong foundation in cellular and/or tumor immunology. Candidates with a
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important for therapeutic interventions. Research requires extensive experience with oligonucleotides and cell printing technologies. Minimum Qualifications PhD in Biomedical Engineering Experience in
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environment that fosters a culture of inclusivity and teamwork. - Engage in ongoing academic and intellectual life within CALS and Cornell University. Requirements • PhD in ecology, quantitative ecology
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immunotherapy for basic and translational research in the laboratory of Dr. Xue Zhong Yu. A qualified candidate is expected to have a strong publication record and excellent references from PhD or postdoctoral
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applications for a postdoctoral fellowship position to join a project investigating trafficking risks in charcoal supply chains in Brazil. The position is open to recent graduates of PhD programs in statistics
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an initially solid-like state firsts yields and starts to flow, and in particular on the statistical physics of how initially sparse plastic events in an otherwise elastic background then spatio
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the following key capabilities: A PhD in a relevant field Demonstrated experience working with ecological datasets Demonstrated experience in statistical inference and reporting Knowledge of models and theory in