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: We would like to recruit a postdoctoral fellow in cancer outcomes research, with a particular interest in decision/simulation modeling and cost-effectiveness analysis. The ideal candidate will have
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highly motivated to impact patient outcomes through translational approaches to the treatment of T cell malignancies. Experience with in vivo mouse immunotherapy models, protein/antibody engineering and
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research, with a particular interest in decision/simulation modeling and cost-effectiveness analysis. The ideal candidate will have strong quantitative skills and an interest in applying modeling
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. This position is 100% on site in New Haven, Connecticut. Candidate requirements Candidates must have a PhD in Biomedical Informatics, Data Science, Computer Science, or an informatics/engineering-related field
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modeling. However, interested candidates with a strong computational background and interest in getting involved in medical imaging and preclinical models are also strongly encouraged to apply. A PhD in
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serve as a building block for tissue engineering and regenerative therapies, with applications in stem cell development, wound healing, and cardiovascular disease treatment. Key Responsibilities Design
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goal is to uncover how mRNA can serve as a building block for tissue engineering and regenerative therapies, with applications in stem cell development, wound healing, and cardiovascular disease
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and supportive academic community. Qualifications We are seeking candidates who meet the following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law
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. Qualifications We are seeking candidates who meet the following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, data science, social sciences
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, Biomedical Engineering, Computer Science, and Data Science. The Yale and VA NORSE study is a multicenter initiative focusing on New-Onset Refractory Status Epilepticus (NORSE), including its subtype of FIRES