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ICBM Summer School 2017 – Introduction to Data Analysis and Ecosystem Modeling

30 July 2017 - 12 August 2017

ICBM Summer School 2017 – Introduction to Data Analysis and Ecosystem Modeling
Date: July 30 – Aug. 12, 2017
Location: Wilhelmshaven and Oldenburg (Germany)

The Institute for Chemistry and Biology of the Marine Environment (ICBM), University of Oldenburg (Germany), will organize a summer school dealing with diverse modeling approaches to marine processes and systems.

The central idea of the summer school is to follow the analysis chain ranging from data sampling over data analysis and conceptual process descriptions and numerical schemes up to the level of comprehensive ecosystem models. The aim is to acquaint participants with diverse up-to-date modeling techniques at an introductory level.
Since data acquisition will be an integral part of the summer school a focus will be on marine conditions met in the southern North Sea and Wadden Sea (one of the largest tidal systems world-wide and UNESCO World Heritage since 2009).

Main scientific topics are:
Introduction to the coastal area of the southern North Sea and Wadden Sea
Excursions
Data acquisition and processing
Introduction to R and Matlab
Multivariate data analysis
Time series analysis
Hydrodynamic modeling
Networks: structure and dynamics
Dynamics of populations and ecological communities
Biodiversity and ecosystem modeling

Who should apply?
The summer school aims at young scientists, i.e. advanced (master) students and early stage PhD students, with a background in marine or environmental natural sciences of all disciplines.

Further information can be found on our web site:
http://icbm.de/summerschool/
Applications should be sent until March 31, 2017 by e-mail to
icbm.summerschool@uni-oldenburg.de
(CV and motivation letter, as pdf file).

Contact: ICBM Summer School
icbm.summerschool@uni-oldenburg.de
Dr. Jürgen Köster, Phone +49-(0)441-798 3350
PD Dr. Jan Freund, Phone: +49-(0)441-798-3231

Details

Start:
30 July 2017
End:
12 August 2017
Event Category:

Rechercher