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. What we expect from you… The candidate will have an MSc or equivalent degree in bioinformatics, biostatistics, machine learning, computational biology, or related subject areas Prior experience in large
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The Luxembourg Centre for Systems Biomedicine (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 the clinic and in silico. We focus on neurodegenerative...
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at the LCSB. We excel because we are truly interdisciplinary and together, we contribute to science and society. Successful candidates will join the Bioinformatics Core (BioCore), led by Prof. Reinhard
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prerequisite. Computational skills, such as basic bioinformatics and ability to read/program in R, are also important, but can be developed further during the doctoral studies. Likewise, prior knowledge
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necessary. Basic benchtop biochemistry skills such as DNA, RNA, and protein extractions and basic quality control are a prerequisite. Computational skills, such as basic bioinformatics and ability to read
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at the LCSB. We excel because we are truly interdisciplinary and together, we contribute to science and society. Successful candidates will join the Bioinformatics Core, led by Prof. Reinhard Schneider
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at the LCSB. We excel because we are truly interdisciplinary and together, we contribute to science and society. Successful candidates will join the Bioinformatics Core, led by Prof. Reinhard Schneider
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work at the LCSB. We excel because we are truly interdisciplinary and together we contribute to science and society. Successful candidates will join the Bioinformatics Core, led by Prof. Reinhard
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at the LCSB. We excel because we are truly interdisciplinary and together, we contribute to science and society. Successful candidates will join the Bioinformatics Core, led by Prof. Reinhard Schneider
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profile: PhD in Systems Biology, Computational Biology, Bioinformatics or equivalent Desired Skills: Strong background in computational and molecular biology, especially data, network and image analysis, as