Humboldt-Universität zu Berlin - Mathematisch-Naturwissenschaftliche Fakultät - Wissensmanagement in der Bioinformatik

Wissensmanagement in der Bioinformatik

Prof. Dr. Ulf Leser

17.09.2020: FONDA, our new collaborative research center, has an opening for a scientific coordinator (TVL E14).
20.07.2020: The group has three open Phd / PostDoc positions within the Collaborative Research Center FONDA:
- Project A2: Adaptive optimization of genomic workflow languages
- Project S1: Monitoring and benchmarking of workflow systems
26.06.2020: The FONDA web site went life. App. 25 research positions (PhD students and PostDocs) will be opened soon. Preliminary information can be found here.
29.05.2020: The German Research Council has approved funding of the Collaborative Research Center (CRC) 1404 "FONDA - Foundations of Workflows for Large-Scale Scientific Data Analysis" (see press release.
20.04.2020: Am Lehrstuhl ist ab 1.6.2020 eine SHK Stelle in Forschung und Lehre zu besetzen.
25.03.2020: Prof. Leser hat im Sommersemester 2020 ein Forschungsfreisemester und bietet daher keine Lehre an.
26.05.2019: WBI team wins 2019 CLEF international eHealth challenge on mapping ICD-10 codes to non-technical texts.
2.10.2018: Interview mit Prof. Leser (auf Deutsch) zur Frage KI in der Krebstherapie.
03.05.2018: An was wir forschen: Suchmaschinen für die personalisierte Onkologie

Alle Lehrveranstaltungen des Lehrstuhls
Offene, laufende und abgeschlossene (2020, 2019, 2018, 2017, 2016, früher) Studien- und Diplomarbeiten

Running projects
Finished projects
Software and downloads
Finished dissertations in the group
All publications; latest:
- Habibi et al.: TabSim: A Siamese Neural Network for Accurate Estimation of Table Similarity, IEEE Big Data
- Klinghammer et al.: Combination of copanlisib with cetuximab improves tumor response in cetuximab-resistant patient-derived xenografts of head and neck cancer, Oncotarget
- Xing et al.: Biomedical Event Extraction as Multi-turn Question Answering". Workshop on Health Text Mining and Information Analysis
- Saenger & Leser: Large-scale Entity Representation Learning for Biomedical Relationship Extraction, Bioinformatics