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Field
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Python for machine learning and interpretability research. These tools will support systematic investigation of model behaviour and enable robust experimentation on large and complex datasets relevant
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of mRNA or expression libraries lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis integrate and analyse multimodal datasets using Python or R to inform
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human omics (preferably related to neurodegeneration) studies is expected. Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance
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within the last 5 years. Programming experience including the use of one or more of C/C++, Python, Fortran, Git, and CMake. Writing and communication skills and the ability to publish. Preferred
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engineering or similar field Experience in microfluidics, specifically segmented slug flow Programming proficiency, preferred in python and LabView Interest in the field of metabolomics, programming, and NMR is
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages (e.g. R, Python) and an
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. Generating fortran code for VUMAT for Abaqus Explicit. Developping python codes for microstructure generation Finite elements simulations on a cluster. Parameter study and comparison with experimental results
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responsibilities include i) lead developer of the core Python application, ii) major contributor to the project ecosystem design and implementation, iii) coordinator of working groups, and iv) major contributor
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skills in R and/or Python and experience in statistical modelling of high-dimensional biological data. Experience working in HPC environments and managing large-scale sequencing datasets is essential