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(AMOC). The work will involve climate modeling, analyses of observational and GCM data, and analytical approaches. A PhD in physical oceanography, atmospheric sciences or related disciplines is required
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dataset analysis. Developing multi-scale mechanistic or data-driven models of the immune system, with a focus on T and B cell biology. Candidate requirements Candidates must have a PhD in Computational
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as a postdoctoral researcher requires academic qualifications at the PhD or MD level, preferably in Neuroscience, Bio/Statistics, Engineering, Computer Science, or related areas. Interest applicants
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phenotype. Thus, by uncovering new liver disease genes, we provide a diagnosis leading to new therapeutic options, and we gain new insight into liver biology. For more information, please see: https
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Postdoctoral Position in Reproductive Immunology (Laboratory of Dr Vikki Abrahams) in the Department of Obstetrics, Gynecology & Reproductive Sciences The laboratory of Dr Vikki Abrahams, PhD in
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A NIH-funded post-doctoral position is available in the laboratory of Susan J. Baserga, MD, PhD, in the Departments of Molecular Biophysics and Biochemistry at Yale University and the Yale School
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(b) Digital health technology (c) Data science and health informatics (d) Lifestyle risk behavior change and chronic disease prevention The postdoctoral associate will work on multiple completed and
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analytical approaches for high-content imaging screen data sets. The ideal candidate has experience with machine learning and cancer biology. Previous work with high-throughput approaches is desirable. First
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well as collaboratively Preferred Education, Experience and Skills: A PhD in Nursing is preferred. Strong data analytical skills. Experience using and analyzing population-based data. Excellent past academic performance
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under the guidance of Dr. Oliver Karam, MD, PhD, and collaborate with experts in implementation science, health services research, biostatistics, trauma-related psychopathologies, and critical care