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peptidomics at Lund University. The duties include: Planning and conducting experiments. Developing and optimizing methods for sample preparation, peptide enrichment, and fractionation. Performing LC-MS/MS
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 hours ago
for: Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data Development of AI-based models for personalized risk assessment Validation and application of model performance using established
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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preparation, peptide enrichment, and fractionation. Performing LC-MS/MS analyses using both DDA and DIA methodologies. Conducting bioinformatic and statistical analyses of peptidomic datasets to identify
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-) immunoprecipitations from neuronal cell models and brain tissue followed by quantitative LC-MS/MS, and you will run that workflow from end to end – from sample preparation to data analysis and interpretation. Candidate
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, organized, and able to work effectively in a multidisciplinary team Experience with antibiotic release assays, LC-MS/HPLC, oxygen measurements, hypoxia models, biofilms, or nanomedicine testing is preferred
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resilience and study the diversity and functional composition of associated microbial communities. - **Activity 3:** Microbiome profiling, microbial culturomics, and multimodal metabolomics using LC-HRMS/MS
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purification of enzymes. Preparation and analysis of samples using various analytical methods, in particular small molecule liquid chromatography-mass spectrometry (LC-MS/MS), quantitative PCR (qPCR), RNA-Seq
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milk). Prior experience and significant expertise with analysis of environmental and/or biospecimen samples via liquid chromatography with tandem mass spectrometry (LC-MS/MS). He/she should also
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such as LC/GC, MS, and/or NMR; knowledge of and interest in biopolymers and biobased materials; strong analytical skills and the ability to understand structure–function relationships; experience in