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Which was the toughest part in CSIR NET exam held on 23-12-2012

Part A

52%

Part B

13%

Part C

22%

Entire Question paper

14%

Total votes: 192

RASA Life Science Informatics

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PhD Student in Bioinformatics : Munich, Germany

The Technische Universität München (TUM) is one of the leading universities in Germany with 31,000 students and 450 Professors across 12 academic departments. Our continuous top performance in research, education and promotion of top talent make the TUM a privileged partner of multiple businesses and scientific institutions across the world.

SAP AG is the market leader in enterprise application software to manage business operations and customer relations. The company’s best known products are its enterprise resource planning application (SAP ERP), its enterprise data warehouse solution – SAP Business Warehouse, SAP Business Objects software, and most recently, Sybase mobile products and in-memory computing appliance SAP HANA. SAP AG with more than 54,500 employees is represented in 76 countries around the world. TUM and SAP are together in seeking to fill a full time position of a PhD Student : Bioinformatics and computational proteomics

The Position : The successful candidate will become a member of a growing interdisciplinary research team at the TUM focused on the development of proteome-wide activity and affinity profiling approaches and their application to chemical biology, biomarker discovery and signaling pathway analysis. We are seeking a highly motivated PhD student to work on the integration and meta-analysis of large-scale proteomics data with a particular focus on the development of algorithms, databases and associated methods and tools.

Project description : The successful candidate will work primarily at the Chair of Proteomics and Bioanalytics in Freising near Munich but will also interact very closely with scientists at SAP.

Requirements : A Master degree (or equivalent) in relevant fields (bioinformatics or combined degrees in computer science and a biological science, statistics, mathematics). Computer programming skills (perl/python, Java, R) and the ability to manage IT systems are essential. Strong communication and presentation skills in English are also important.