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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone
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(functional and technical). We are also looking for a candidate who possess knowledge of Linux, scripting languages such as Python, local and networked storage such as ZFS and NFS, server virtualisation, and IP
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Windows and Mac desktop support Current PC hardware Windows Server and Active Directory MySQL, PHP/Python and web development Audio Visual facilities This is a full-time role (36.5 hours/week working Monday
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, and/or RNA-seq. Proficiency in programming languages commonly used in genomics, such as Python and/or R, along with familiarity with Bash scripting, is essential. The ideal candidate will demonstrate
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, especially the SOCRATES code, is highly desirable. Experience interpreting large model datasets or observational datasets using software such as Python, R or Matlab and experience running computer code on HPC
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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in systems neuroscience. Ideally you would have experience with mouse behaviour and/or Neuropixels recordings and analysis, as well as with opto/chemogenetics. Being a pro with Python/MatLab helps
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, CRISPR genome editing, flow cytometry, next-generation sequencing, and bioinformatic data analysis (preferably in Python) would be advantageous, but an eagerness to learn and develop innovative methods is
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. Experience in cancer research, including a working understanding of computational approaches for cancer genome analysis being particularly advantageous. Strong programming skills (e.g. Bash, R, Python) and
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an associated Masters, or ideally PhD, qualification. - Experience of processing and analysing large biological datasets. - Expertise in programming using at least one of R or Python. - Experience in