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Field
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maintenance of the FAIR Knowledge Base, ensuring all experimental and simulation data is searchable and reusable. Professional-grade Python skills with a focus on maintenance. You will be responsible
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linear, mixed-integer, and stochastic programming. Work with programming languages such as Python, Julia, or C++ to build robust analytical tools and perform large-scale data analysis. Collaborate with
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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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pipelines and interfaces): Python (numpy, scipy, pandas, PyQt5, matplotlib, pympi.Elan, torch, etc.), R/RStudio, automatic speech processing systems (e.g., Nemo, MFA), and NLP packages (such as spaCy
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deep learning including data collection, architecture development, model training, and validation Interest in software development, with particular emphasis on the Python programming language and
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Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus. Candidates should apply at: https://puwebp.princeton.edu/AcadHire
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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
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-infrared spectral range, - Free-space and guided optics experiments, - Programming and modelling (Matlab and Python), - Infrared spectroscopy. Know-how and interpersonal skills: - Initiative, responsiveness
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-layer techniques (preferred/an asset, intermediate level). Proficiency in Python for scripting, data analysis, and automation (advanced proficiency required). Website for additional job details https
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For Someone Who • Has a PhD in computational biology, genomics, bioinformatics, microbiology, or a related field. • Is fluent in Python/R and Unix-based workflows. • Has experience with microbial genomics