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bioinformatics research coupled with wet-lab investigations, working in the areas of network biology, data-driven hierarchical modeling, and machine learning applied to biomedicine. We also support multiple open
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. Strong background in statistical analysis and interpretation of large-scale data, especially NGS. Proven track record in a relevant subject (e.g. Bioinformatics/Computational biology/Computer Sciences
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fluids. Together with the Bioinformatics team, the Proteomics Unit covers all steps from initial consultation, experimental design, sample preparation, liquid chromatography mass spectrometry (LC-MS) data
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imaging, quantitative high-throughput behavioral assays, bioinformatics, and whole-brain connectomics. The candidate will the opportunity to contribute to ongoing research projects, which may involve
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mentoring and skills development. The lab performs bioinformatics research coupled with wet-lab investigations. We work in network biology, data-driven hierarchical modeling, and machine learning applied
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with a commercial company, we will develop an NGS assay to screen a cohort of ~1,200 patients using existing samples. You will contribute to the design of the assay and development of the bioinformatic
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, Spatial Transcriptomics or proteomics/mass spectrometry would be advantageous as would experience using R and/or python code for bioinformatics data analysis of multiplex datasets. Knowledge of MATLAB, Perl
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microbiology, and bioinformatics. This position will act as an epidemiologist for the program which involves developing analytic plans using sound methodological approaches, overseeing analysis and data
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About the Role: We are seeking a highly dedicated and skilled scientist with a PhD in Spatial Transcriptomics, Spatial Proteomics, Bioinformatics, Neuroscience, Biochemistry, or Bioengineering
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, standard microbial assays, (photo)physiology measurements, lipid analysis via LC-MS to potentially radioisotope assays, genetic modification and bioinformatic data analyses. The Senior Research Technician