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Field
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acquired at multiple resolutions (tissue-level, single-cell/nucleus, and spatial transcriptomic data), requiring complex integrative analyses. The successful candidate will lead the analysis of a large
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Biology, Computer Science, Genetics, or a related field preferred. Proficiency in programming and scripting languages, such as Python and R. Solid experience with standard bioinformatics tools and software
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Microsoft, open-source, and web standard technologies such as Python Flask, .NET Web Forms, .NET MVC, C#, CSS, HTML, ReactJS, jQuery, and T-SQL to design, develop, and deploy web-based applications
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Thebault labs are seeking a skilled and motivated Research Assistant to support data analysis and pipeline development for cutting-edge research in neuroinflammation, multiple sclerosis, and
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for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python
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decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
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process engineering, environmental sciences, or another related field You have expertise in one or more of these areas: Data management and programming (e.g., Python) Life Cycle Assessment (LCA) Multiple
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interactive learning. Specifically, you will design and implement a web-based graphical user interface (GUI) that enables real-time in-class interaction between students and teachers across multiple locations
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implementation of new virtualization, storage and backup systems; Scripting to automate routine tasks preferably using Python and/or Powershell. Familiarity with: Management of Enterprise solutions including
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techniques or tooling, such as relevant Python or Julia libraries (PyTorch, JAX, and similar) and how to package simulation or ML codes for dissemination or deployment on distributed servers (e.g., Docker