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(independently and in our team) involvement in teaching across different life science study programs at the Faculty of Medicine Required skills: Ph.D. (or comparable) in Bioinformatics, Computational Biology
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PhD Student / Postdoctoral Researcher (gn*) Molecular Biology Reference Number: 10836 Fixed term of 3 years | Full- or Part-Time (65% or 100%) | Salary Grade TV-L E13 | Centre of Reproductive
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record of scientific productivity. Previous experience in metabolomics, computational biology, and/or hematology-oncology is strongly preferred. Interested individuals should send a CV, a short summary of
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. The postdoc will be affiliated to the Department of Molecular Biology and
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have a Ph.D. in biology or computational biology. Special Skills, Knowledge, and Abilities: Experience in cell culture, epigenomics/transcriptomics, Western blotting, flow cytometry, and/or cell culture
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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stronger theory/computation leanings and one with a strong background in molecular biology and experience with metabolomic data. What we offer 3-year Postdoctoral contract State-of-the-art platforms
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The Department of Food Science, Aarhus University (Denmark), invites applications for a 36-month postdoc position to work the physical chemistry of food proteins, in particular their structure
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(LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in
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, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular