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Dortmund, we invite applications for the Research Group Proteomics: Scientist / Postdoc (m/f/d) You will be responsible for: Planning and performing proteome analyses as part of the joint project
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The +Pec Proteomics Research Group (+PPRG), led by Dr. Xavier Gallart-Palau and Dr. Aida Serra at the Biomedical Research Institute of Lleida (IRBLleida, Spain) and University of Lleida [https
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backgrounds, and maintaining and troubleshooting mass spectrometry instrumentation. The candidate must demonstrate deep expertise in general proteomics, and extensive hands-on experience in processing diverse
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use proteomic data to identify novel regulators of nervous system stability in health and disease. Examples of the application of this type of workflow from the Wishart group can be found here: https
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between the human organism and food components. To strengthen our research group Transcriptome & Proteome Profiling / Section I, we are currently looking for a committed Master’s Student of Biochemistry
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
of North Carolina at Chapel Hill School of Medicine invites applications for a full-time fixed term faculty open rank position to lead proteomics initiatives within the UNC Metabolomics and Proteomics (MAP
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Appointment Term: Initially 1 year, renewable Appointment Start Date: Fall 2025 but flexible Group or Departmental Website: https://www.liwanglab.org/ (link is external) How to Submit Application Materials
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Dortmund, we invite applications for the Research Group Proteomics: PhD Candidate (m/f/d) in Phosphoproteomics You will be responsible for Planning and performing proteome and phosphoproteome analyses as
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Research position: Proteomics and Drug Development. The Chemical and Biochemical Sciences-Green Process Engineering at the University of Mohammed VI Polytechnic Benguerir Morocco seeks Postdoctoral
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specificity. Targeted proteomics enables the simultaneous quantification of large cytokine panels, offering high multiplexing at reduced variability and cost. In this project, we aim to develop a novel