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University Belfast, is currently seeking to recruit a talented Research Fellow in Quantitative Interaction Proteomics and Chemoproteomics. An experienced and motivated postdoctoral scientist is sought to join
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the power of machine learning, you will explore the interplay between metabolomic and proteomic data and depression to transform our understanding of this pervasive disorder. Based at King’s College London, a
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the power of machine learning, you will explore the interplay between metabolomic and proteomic data and depression to transform our understanding of this pervasive disorder. Based at King’s College London, a
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The School of Biological Sciences at Queen’s University Belfast, is currently seeking to recruit a talented Research Fellow in Quantitative Interaction Proteomics and Chemoproteomics. An experienced
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areas: antifungal immunity; fungal recognition mechanisms; advanced fungal molecular and cell biology and biochemistry; advanced microscopy; genomics and/or proteomics; cytometry. They will have a proven
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results in the area of proteomics, polymers, complex mixtures, lipidomics, or glycomics, broadly defined. The lab currently has a 15T solariX FTICR mass spectrometer, a 12T solariX FTICR mass spectrometer
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biology, genomics, transcriptomics, epigenomics and proteomics, all of which are supported by specialist technical teams. Our scientists have strong collaborative relationships with colleagues who
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techniques, epifluorescence or confocal microscopy acquisition and analysis. Other key skills including proteomics, flow cytometry and gene editing in malaria parasites are highly valued. The candidate should
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for validation against dynamic multi-condition proteomics datasets. Deciphering cell cycle dynamics using pseudo-time embeddings derived from snapshot mass cytometry data. Leveraging low-dimensional embeddings
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Biologist to support the preclinical development of a novel PROTAC drug. The project is funded by the MRC and is full-time for 22 months. The successful candidate will have experience with handling proteomic