Two upcoming Phd courses at CIM this spring
20180412
There are two upcoming courses at CIM this spring: 360in525 Minutes Course Set in Data Sciences and Optimal Designs and Randomization Techniques for Clinical Trials.
Please visit the corresponding course pages below for more information.
360in525 Minutes Course Set in Data Sciences
Optimal Designs and Randomization Techniques for Clinical Trials.
See this link for a list of all upcoming courses and previous courses given at CIM.
CIM News

Two upcoming Phd courses at CIM this spring
There are two upcoming courses at CIM this spring: 360in525 Minutes Course Set in Data Sciences and Optimal Designs and Randomization Techniques for Clinical Trials.

Up to three PhD positions in interdisciplinary mathematics
We are now looking for up to three PhD students to work within the Center for Interdisciplinary Mathematics (CIM) at Uppsala University.

AimDay  Math in Industry 2017
On October 10, CIM organizes AimDay  Math in Industry 2017. This is a followup of a similar successful event from 2016, where practitioners are invited to submit questions to be discussed jointly with researchers.

Thematic semester on Sequential Monte Carlo (SMC)
During Fall 2017, a thematic semester on Sequential Monte Carlo (SMC) will be organized.

New CIM PhD students
The CIM board has decided to admit seven new PhD students into the graduate school. These new students will begin in the Fall 2017.

AIMday Math in Industry
This year's AIMday focused on engaging with industry to help solve problems with mathematical components, including pure mathematics, applied mathematics, statistics, numerical analysis, system technology, automation and control, image analysis, machine learning and data analysis, optimization, simulation and modeling, data visualization and more.

Machine learning in study of new galaxies
In a collaboration between CIM and astronomers at the Department of Physics and
Astronomy, machine learning takes the stage as a powerful tool in the interpretation of data on the first generations of galaxies. Read more. 
Learning from ants how to build transportation networks
Using mathematical modeling and field data, researchers at CIM and the mathematics department at Uppsala University have found the basic rules that allow ants to build efficient and low cost transport networks without discarding robustness. The study is now published on the Royal Society journal Interface.

Open PhD positions at CIM
We are currently looking for highly qualified candidates for up to five PhD positions in interdisciplinary mathematics.
News at the Centre of Interdisciplinary Mathematics