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of new methods Share your expertise in the form of tutorials, presentations, and by being a mentor to more junior members Grow your skills Our software development is essentially conducted in Python and
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high-performance computing (HPC), containerization, workflow orchestration (e.g. nextflow), and next-generation file formats (e.g. Zarr). Your work will primarily be conducted in Python. You will also
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dedicated learning opportunities. What you'll bring Essential A Ph.D. in Computer Science, Physics, Engineering, Biology, or related fields. Experience with machine learning. Experience with scientific python
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of image processing methods on biological datasets, with an emphasis on microscopy. Proficiency in at least one programming language (Python, Java, ImageJ macro, R, Matlab) Familiarity with at least one
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or functional genomics datasets. Strong programming skills in Python and/or R, with experience in version control (e.g., Git) Familiarity with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow
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models, transformers, representation learning, contrastive methods). Solid experience with Python and Pytorch and good command of software development tools such as GIT. A good track record of authoring
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., dissection, viral delivery, histology) Mouse surgery experience, especially surgeries involving embryonic mice Computational experience (R, Python, or equivalent) or a strong interest in developing
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of molecular phenotypes, Mendelian Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and
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journals. Proven experience with large-scale genomics or functional genomics datasets. Strong programming skills in Python and/or R, with experience in version control (e.g., Git) Familiarity with machine
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microscopy (AFM) Preferential requirements Experience in operating a Lumicks instrument Basic programming skills (Python) Knowledge in biochemical/biophysical characterisation of macromolecular samples