Sort by
Refine Your Search
-
Category
-
Field
-
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
-
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
-
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
-
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
-
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
-
: system modeling, optimization, multi-criteria decision-making · Economics & Data-Driven Public Policy: micro/macro, quantitative methods, causal inference, policy evaluation · Spatial Data Science & GIS
-
., dissection, viral delivery, histology) Mouse surgery experience, especially surgeries involving embryonic mice Computational experience (R, Python, or equivalent) or a strong interest in developing
-
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
-
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
-
microscopy (AFM) Preferential requirements Experience in operating a Lumicks instrument Basic programming skills (Python) Knowledge in biochemical/biophysical characterisation of macromolecular samples