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, mathematical, and financial modeling skills to research tasks and analytical deliverables. Utilize R, Python, or similar programming tools to manage, analyze, and interpret large datasets. Prepare and deliver
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; Proficiency in relevant tools, e.g., SPSS, R, Python, NVivo; Excellent written and verbal communication skills; Ability to work independently and meet deadlines; and Highly responsible and attentive to details
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with ML technologies. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEngineering » OtherEducation LevelMaster Degree or equivalent Specific
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Description The Language and Cognition team at the Center for Integrative Neuroscience and Cognition (INCC, https://incc-paris.fr/language-and-cognition/ ) at Paris Cité University is inviting applications
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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following
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, documenting, debugging, maintaining, and modifying routine computer programs for the PMEL Argo program (https://argo.ucsd.edu/data/data-faq/ ). This will entail the development of software tools to log output
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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maintenance of equipment. Job Requirements Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C
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with documented practical experience within optical spectroscopy and scripting using MatLab or python. You should be able to work independently and within a group, and communicate well in English. A
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, misinformation intervention, and computational social science Solid programming skills, e.g., Python, machine learning frameworks, data analysis tools Experience with social media research or large language models