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M.Sc. Position: Development of Interpretative and Analytical Software Tools For Comparative Proteomics

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Master Thesis Vacancy
The Professorship of Industrial Biocatalysis at the Dept. of Chemistry at the Technical University of Munich in Garching has an opening for a Master's Thesis vacancy
 
Development of Interpretative and Analytical Software Tools
For Comparative Proteomics
 
Comparison of Trichosporon oleaginosus proteome under different fermentation conditions is key to elucidate the biochemical pathways for lipid biosynthesis. Following MS/MS identification of differentially regulated proteins, a comparative tool aids in construction of protein networks driving lipid biosynthesis in T. oleaginosus.
 
Responsibility and Tasks:
  • The applicant is responsible for software development with features listed below:
  • Development of comparative proteomics software framework
  • Sequence alignment
  • Qualitative and Quantitative Analysis
  • Development of a scientific software interface bundleing different open source software packages
  • Weekly meetings
  • Monthly reporting
 
Requirements:
Suitable candidates should have strong programming skills and experiences in GUI-development. Suitable candidates have a Bachelor in bioinformatics, computerscience, biotechnology or equivalent fields. High team spirit and communication skills, and a high level of self motivation are key to accomplish the set tasks. Previous experience is an advantage. Physical presence in lab is not a must! Please note that email applications should reference LiProTech3 in the Subject.
 

Kontaktdaten


Art des Bewerbungszugangs
Only email applications will be considered.
Kontakt für Bewerbungen
Dania Awad
Division of Industrial Biocatalysis – TUM
Lichtenbergstr. 4
85748 Garching
dania.awad@tum.de
Garching, 01.09.2016

Details der Stellenanzeige


Arbeitszeit
Vollzeit
Vertragslaufzeit
Befristete Anstellung
Stellentyp
Diplom- & Masterarbeit
Berufserfahrung
Berufserfahrung vorausgesetzt
Region
Deutschland (Bayern)
Arbeitsort
85748 Garching (München)
Fachgebiet
Informatik, Biologie & Life Sciences, Biotechnologie
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