University of Belgrade

Institute for
Multidisciplinary Research

   
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list INSTITUTE FOR MULTIDISCIPLINARY RESEARCH

The Institute for Multidisciplinary Research (IMSI) was established in 1970 as the Centre for Multidisciplinary Studies of the University of Belgrade, with the aim to foster research and education of postgraduates in borderline disciplines and multidisciplinary sciences.

In 2007 the Centre was transformed to the research institute by the directive of the Serbian Government, and from 2009 it has again become the member of the University of Belgrade.

The three cross-linked departments (Materials Science, Life Sciences and Environmental Sciences) are organized to achieve the high quality of interdisciplinary research within bio- and technical sciences and the efficient use of the equipment. With more than 90 researchers (45 PhDs) the IMSI is an outstanding research institution and also an attractive educational environment for master and PhD students, with a long term devotion to promote scientific excellence.

News and Events

This project will be a continuation of a study on black bullhead in the Ponjavica Nature Park and of its experimental rearing in the Centre for Fisheries and Applied Hydrobiology (CEFAH) of the University of Belgrade – Faculty of Agriculture. Lake Markovačko is selected for ichthyological and phytoplankton research to obtain data on fish stock […]

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Today, the Science Fund of the Republic of Serbia (http://fondzanauku.gov.rs) has formally presented the first IMSI’s project within the PROMIS program entitled: “LEAPSyn-SCI – Late Embryogenesis Abundant Proteins: Structural Characterisation and Interaction with α-Synuclein”.The overall objective of the Project: reduction of the aggregation of α-Synuclein (α-Syn) by desiccation-related Late Embryogenesis Abundant (LEA) proteins in order […]

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Our colleague Ivan Spasojevic will give a speech at 7th Belgrade NATO Week

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A book edited by Dr Sladjana Spasic has been published: Nonlinearity in Living Systems: Theoretical and Practical Perspectives on Metrics of Physiological Signal Complexity Download here: link

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