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Field
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unique opportunity to work on a cutting-edge project involving multiomics data analysis of myeloma genomes, focusing on structural variants and heterochromatin rearrangements. You will have the chance to
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international quality, including publication. Single cell RNA sequencing and data analysis Characterization and production of monoclonal antibodies Flow cytometry Confocal microscopy qPCR In vitro cell cultures
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theory, symmetry analysis, and group theory. You will work on developing and applying these ideas to discover new photonic phenomena, implement associated computational tooling, and to find opportunities
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with mammalian cell culture and transfection techniques. Proficiency in standard molecular biology techniques (PCR, cloning, Western blotting, flow cytometry). Experience with data analysis and
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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g
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Analysis of CO2-to-Food Pathways The ideal candidate should have all or several of the following academic and personal qualifications: A PhD in chemical engineering, process systems engineering, energy
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responsibilities will include working within clinical researchers associated with the project, taking responsibility for completion of data analysis, and helping with the supervision of PhD students working
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data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy
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We are recruiting two postdoctoral research associates with expertise in mass spectrometry-based protein analysis. You will be embedded in a larger team with another PDRA and a PhD, fully funded by