Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry has an immediate opening for one postdoctoral fellow position in biomathematical modeling. The potential candidates are expected to have a strong background in applied mathematics or engineering (Ph.D. required), especially in differential equations or stochastic models. Preference will be given to the candidate with experience in mathematical modeling of biomedical systems (in particular, immunology and infectious diseases modeling). The successful candidate is expected to collaborate with immunologists and virologists to develop mathematical models for immune response to viral infection based on immunological experiment data. Experience in computer simulations, numerical analysis and statistics is a plus. Good communication skills and computing techniques are essential. The position requires close collaboration with immunologists, statisticians, and computer software developers to develop immune response modeling and simulation systems. The position is for one year with potential renewal for more years subject to performance and funding availability. The scientific environment is conducive to professional development. Please send CV, three references and other supporting materials to
Dr. Hulin Wu,
C/O: Ms. Debra Perno (Job Code: Math)
Department of Biostatistics and Computational Biology,
University of Rochester School of Medicine and Dentistry,
601 Elmwood Avenue, Box 630,
Rochester, NY 14642
Email: Debra Perno
Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry has an immediate opening for one or more Postdoctoral Fellow positions. The potential candidates are expected to have strong theoretical and applied background and PhD training in statistics, biostatistics or other related disciplines. Preferred research areas include high-dimensional data clustering, Bayesian statistics, computational statistics, model selection and identification, nonparametric regression methods, state-space models and longitudinal data analysis. Strong computational skills are preferred. The position involves collaborating with immunologists and mathematical modelers to develop statistical methods to identify parameters for models of immune response to viral infection and immunological data analysis. The postdoctoral appointment is one year with possible renewal for more years subject to performance and funding availability. The scientific environment is conducive to professional development for those anticipating a career in both academic setting and applied biostatistics setting. This is a unique opportunity for well-trained individuals interested in both methodologic and applied research. Please send CV and three references to
Dr. Hulin Wu,
C/O: Ms. Debra Perno (Job Code: Stat)
Department of Biostatistics and Computational Biology,
University of Rochester School of Medicine and Dentistry,
601 Elmwood Avenue, Box 630,
Rochester, NY 14642
Email: Debra Perno
Division of Biomedical Modeling and Informatics, Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry has an immediate opening for one or more visiting faculty positions. These visiting positions can be 3 months up to one year which are ideal for those who are on sabbatical leave or summer vacation. The potential candidates must have similar research interests and experience as required by the funding projects that include dynamic models, Bayesian statistics, computational statistics, model selection and identification, nonparametric regression methods, state-space models, longitudinal data analysis and biomathematical modeling. Please send your CV to:
Dr. Hulin Wu, Professor
Department of Biostatistics and Computational Biology,
University of Rochester School of Medicine and Dentistry,
601 Elmwood Avenue, Box 630,
Rochester, NY 14642
Email: Dr. Hulin Wu