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Graduate Opportunities

graduate study

Olga Barbosa, a PhD student at Pontifica Universidad Católica de Chilea, with technician Juan Monardes, collects sea spray samples in Northern Chile. Institute scientist Dr. Kathleen Weathers' is providing insight into Olga's fog water research.

Fundamentals of Ecosystem Ecology

Fundamentals of Ecosystem Ecology (FEE) course is an intensive immersion in ecosystem science, with lectures taught by Institute scientists, the FEE course attracts an audience of international participants.

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Likelihood Methods in Ecology

Dr. Charles D. Canham's Likelihood Methods in Ecology course is an excellent primer for students interested in using statistics to inform experimental design and enhance data interpretation.

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2012 Course Announcement:

April 2 – 6, 2012
Instructor: Dr. Charles Canham

The Cary Institute of Ecosystem Studies will offer an intensive one-week course in the use of likelihood methods in ecology from April 2nd – 6th, 2012.   The methods provide a powerful tool for linking models and data, and provide a flexible alternative to traditional, parametric statistical analyses.  Labs will be based on use of the R statistical computing package. 

Location and fees: The course will be taught on the campus of the Cary Institute, in Millbrook, New York (roughly 90 miles north of New York City).  The $900 course fee includes housing during the course in single rooms in Institute housing.  Students will be responsible for their travel expenses and meals.  Course fees must be submitted by March 1, 2012.   Details on how to submit the fees will be sent after initial registration.

Course description: The goal of the course is to introduce students to the concepts and methods of use of likelihood and information theory in data analysis and statistical modeling.  The labs will focus on the use of software tools in R that allow the students to construct their own analyses and models.  Most of the examples used in the course will be drawn from forest ecology. 

Target audience and prerequisites:  The course is intended for graduate students, post-docs, and practicing scientists.  An undergraduate or graduate level background in statistics is desired, but the course will teach the basic principles of probability theory required for the methods.  Students will need to be familiar with R.    For novices, we will post a set of tutorials to provide a basic introduction to R – these should be completed before the start of the class.

Registration and class size:  Class size will be limited to 16 students.  To register, send an e-mail to Charles Canham at canhamc@caryinstitute.org containing your name, mailing address, e-mail address, phone number and a brief statement of your research interests.  Please put “2012 Likelihood Course Registration” in the subject line of the message. 

Graduate Study

In addition to on-site course offerings, Institute ecologists sit on thesis committees and serve as graduate advisors. Advantages to graduate study include immersion in a group of energetic, communicative scientists, and opportunities to work as part of multi-disciplinary teams tackling important questions. Graduate students hail from a range of parent institutions, from Cornell University to Israel's Ben Gurion University of the Negev. Students interested in working with an Institute ecologist should contact scientists directly.

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