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or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record in publishing
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/structural biology sample preparation and data collection Proficiency in Linux command line usage and cryo-EM processing software Experience in prokaryotic (E.coli) cell culture Experience in eukaryotic (e.g
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, data normalisation and machine learning methods applied to biological datasets Experience with data management and version control (Git/GitHub, workflow automation, documentation) Capacity to work
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Scikit-learn, PyTorch, Openbabel, and RDKit packages. Experience with density functional theory (DFT) calculations. Experience with version control GitHub repositories, and Unix/Linux supercomputing
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) and/or genomics; strength in one area with willingness to develop in the other. Ability to contribute to data acquisition and quality control. Strong organisational, communication, and collaborative
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handling, PCR, qPCR, quality control assays, western blots…) Proven ability to critique and interpret experiments/data and problem-solve Capacity to work independently and as a multi-disciplined team, and