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Open Position – Masters Thesis

If you are a Masters student in the Marburg/Gießen area, you might be interested in this: We have an open project available as a Masters Thesis, which focuses on DNA sequence classification using recently discovered machine learning approaches such as Random Forests and SVMs with string kernels.

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Research visit

Dr. Kieran Cashin (Burnet Institute / RMIT University, Australia) visited our group for two weeks. This collaboration is supported by the Federal Ministry of Education and Research (BMBF) and the German Academic Exchange Service (DAAD) under the ATN-DAAD Joint Research Co-operation Scheme.

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Open Projects for Bachelors and Masters Theses

Currently, we have two open research projects for Bachelor or Master students: One is focused on finding socio-economic factors that impact biodiversity of European lakes based on the lakes GPS information. This project is intended for a Bachelor student. In the other project, the student will automate and adapt methods for the prediction of replication…

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New publication

We published a new article in Liver International: Anastasiou O, Kälsch J, Hakmouni M, Kucukoglu O, Heider D, Korth J, Manka P, Sowa J-P, Bechmann L, Saner F, Paul A, Gerken G, Baba H, Canbay A: Low transferrin and high ferritin concentrations are associated with worse outcome in acute liver failure. Liver International 2017, in…

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New Publication

We published a new article in Zeitschrift für Gastroenterologie: Best J, Bilgi H, Heider D, Schotten C, Manka P, Bedreli S, Gorray M, Ertle J, van Grunsven LA, Dechêne A: The GALAD scoring algorithm based on AFP, AFP-L3, and DCP significantly improves detection of BCLC early stage hepatocellular carcinoma. Zeitschrift für Gastroenterologie 2016, 54(12):1296-1305. (Link)…

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New publication

We published a new article in BioData Mining: Ursula Neumann, Mona Riemenschneider, Jan-Peter Sowa, Theodor Baars, Julia Kälsch, Ali Canbay and Dominik Heider: Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach. BioData Mining 9(1), 36 (2016). (Link) Abstract Motivation Biomarker discovery methods are…

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Open positions in Marburg

Heiderlab is now part of the Department of Mathematics and Computer Science at the University of Marburg. Currently we have open positions for PhD students and Postdocs at the University of Marburg. Please send your application as a single PDF to dominik.heider@uni-marburg.de

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