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high-performance computing, automated workflows and reproducible data analysis; proficiency in Python or a comparable language is expected. A publication record appropriate to career stage that
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experiments. Multiplex cytokine and biomarker quantification. Western blotting and molecular immunology techniques. Bulk RNA-seq (and scRNA-seq) data analysis. Desirable: R/Python-based bioinformatics. As a
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: Geospatial and statistical analyses of remote sensing and ecological data, Good programming skills, ideally using R, Python, or similar, Land cover and land use change, Multispectral remote sensing, and
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generative models Is highly proficient in Python, PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and sequence or
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Python programming language Experience in mounting micro-crystals Experience with experiments at synchrotron radiation sources Consideration will also be given to good collaborative skills, drive
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downstream genomic analyses. Strong computational skills, including substantial experience with command-line environments, scripting/programming (R, Python and Bash), high-performance computing and
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(for instance multislice). Experience with data analysis performed using Python or similar. Personal drive and self-motivated. Good communication skills in English, both written and spoken. Being able
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modelling and data analysis, such as Python, R, Julia, MATLAB, NetLogo, or C++. Preferably, you have demonstrated experience with data-driven computational modelling of cognitive or behavioural processes
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, epithelial biology, mucosal immunology, inflammatory disease or a closely related field. Demonstrated expertise in analysing single-cell or spatial-omics data, with proficiency in R and/or Python
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
; proficiency in Python or a comparable language is expected. A publication record appropriate to career stage that demonstrates the ability to conduct and communicate independent computational research