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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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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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, communications, and updates. Required Education and Experience PhD Degree in computer science, applied/computational mathematics, engineering, bioinformatics, data science, or a related field and two years
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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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, 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
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, quantum information science and related fields (non-equilibrium dynamics, quantum simulation with tensor networks, etc.). A Ph.D. in Physics or a closely related field is required. The initial appointment
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from Prof. Ohno-Machado, to launch their independent scientific careers. Skills & Qualifications • Recently completed a PhD in a related field. If PhD award is pending, letter from the thesis advisor