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, or Python. The ideal candidate will demonstrate overlapping interests with Peter van der Windt’s research, which more recently includes work on conflict displacement. Given that much of Van der Windt’s work
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Python and GEE for geospatial analysis and data science. Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. A track record of first
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environment; Python programming Preferred Qualifications Experience with unstructured grid ocean modeling system such as SCHISM. Experience of using programming language Python to deal with large 3D ocean data
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programming languages such as Python, Go etc. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Interpersonal skills, oral and written communication skills, and ability
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of publications in scientific journals. Excellent programming skills (e.g. Python, MATLAB, Fortran) and ideally also experience in High-Performance Computing. Demonstrated high level skills in
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knowledge of basic techniques in molecular biology. Working knowledge of R and Python programming environments. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5284-FABLEG-002
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Python, including use of data analysis libraries such as pandas and scikit-learn Experience with Large Language Models (LLMs): using APIs (e.g., OpenAI, HuggingFace), or local models (e.g., Ollama
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experience with MATLAB, Python, or equivalent programming languages and will have a strong publication record in the field of working memory or a related area. Terms of employment include competitive salary
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Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data