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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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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
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troubleshooting custom measurement systems. Skills in data analysis including scientific programming. Ability to communicate professionally and work in interdisciplinary teams. Minimum Qualifications PhD in related
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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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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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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will
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has a permanent staff of 35 academics in addition to 6 support staff. The school comprises the disciplines of Mathematics, Applied Mathematics, and Statistics, each led by a Chair in the discipline. Its
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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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