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well as programming (Python, R, MATLAB) or instrument method development, would be advantageous but not essential. Excellent communication, organisation, and teamwork skills are essential. The ability to work
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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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large-scale biomarker informatics. The role will require good skills in statistical analysis, machine learning, preferably in R and/or python, and LINUX/bash. You will be able to work independently and
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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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, 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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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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programming with Bash and Python is also required and previous experience of vertebrate and invertebrate genomes would be beneficial. The ideal candidate will be an independent researcher capable of managing a
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excellent competency in relevant programming languages, for example C, Python, or R. Experience with nanopore data is beneficial and will have excellent skills working in teams and communicating complex
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, and/or tools for spoken language assessment/CALL. Good knowledge of Python and the Linux OS is desirable. In addition, applicants should exhibit good oral and written communication skills and have
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network-based analysis, with proficiency in Python/R, Nextflow, and high-performance computing. In addition to the project work, the role holder will provide support to researchers in the group, assist in