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in collaborative research projects. Publish manuscripts in peer-reviewed journals. Experience with mass spectrometry (especially DIA) and proteomics applications. Strong programming skills (Python
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of experience in Matlab or Python. Must be proficient in CAD software for rapid prototyping. Required Documents Resume To be considered for this position please visit our web site and apply on line at the
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interdisciplinary research at the interface of biology, physics, and computation ● Experience in image analysis and/or machine learning is highly desirable ● Programming skills (Python or equivalent) are a plus
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, Environmental Science, Remote Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record Where to apply
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(i.e. Python, shell scripts, Java Script, Java, (PHP), Perl and PowerShell). Configuration formats such as YAML, JSON, and TOML Proficiency in Structured Query Language (SQL) Experience with Oracle, My
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, or geospatial briefings to help communicate technical findings to diverse audiences Develop or adapt geospatial scripts using Python for data processing, automation, and spatial analytics workflows Collaborate
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teach lab members as appropriate, including manuscript review, technical and research idea support. Design and implement code in C++, Python and bash for automation and new software packages that support
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programmation (MATLAB, Python, ou équivalent) sont requises pour le développement et la mise en œuvre des modèles numériques. Une expérience en analyse de données, visualisation scientifique et traitement de
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backend and frontend applications for AI and data-driven platforms Develop and maintain web applications using Python, Flask, React.js, and related frameworks Implement clean, modular, and maintainable code
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fabricating research apparatus, including use of 2D/3D CAD modelling and laser-cutting, and python coding skills. Additional information Contract type: FTC (until 30/04/2027) Shift pattern: 4 hours per week