M-EID Events and Announcements

IMB Seminar

Multivariate data appear naturally in the life sciences because usually more than one response variable is of interest ("multiple endpoints"). We look at different ways to analyze multivariate data. Methodological advancements in recent years have made it possible to analyze many multivariate data sets using completely nonparametric methods. We will provide an overview of current statistical research on these methods, illustrated by examples. In particular, we will focus on inference methods that can be used when the data have a mix of ordinal and quantitative response variables.

Geosciences Colloquium

Dan Strawn, University of Idaho, "Molecular Characterization of Selenium in the Environment."

IMB Seminar

Dr. Sandy Ross, University of MT, "Protein Dynamics and Initiation of Blood Coagulation"

Math Colloquium

Arne Bathke, University of Kentucky. “Inference for Multivariate Data.”

OBE Seminar

Andy Sih, University of California – Davis, "Behavioral syndromes: evolutionary and ecological implications"

M-EID Journal Club

Clark Kogan is running the club this week

Math Weekly Seminar Schedule

Student Opportunities

Postdoctoral position on infectious disease dynamics and climate

Applications are invited for a postdoctoral position to work on the population dynamics of infectious diseases and climate variability. The research will focus on the dynamics of cholera and involve the development of mathematical models of disease and their interface with novel statistical inference methods for time series data.

The initial appointment will be for one year with the possibility of renewal.

Required expertise: Applicants should have a doctoral degree in Ecology, Epidemiology, Mathematics, Statistics, Computer Science, or a climate-related field. Experience in mathematical modelling and strong programming skills are essential. Expertise with stochastic models, time series analysis, and/or parameter estimation (such as Monte Carlo methods) is preferred. We will also consider applicants from climate related fields with expertise in forecasting and time-series modelling who are interested in applications to epidemiology.

Compensation: Salary will start at US$ 40,000.

To apply: Please submit application electronically by sending CV, letter of interest, and names of three references to Mercedes Pascual at pascual@umich.edu and Aaron King at kingaa@umich.edu.

Anticipated starting date: September 15 or later.