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LLMs Extensive ability to write code in Python Experience working in a research environment Excellent writing and communication skills, including the ability to communicate technical concepts to a non
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evidence of expertise and completed research outputs Understanding of AI and, especially, deep learning techniques, with a demonstrable understanding of LLMs Proven ability to write code in Python Experience
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, or improvement projects. Competence in programming and analytical tools (e.g., R and Python). Experience with Principal Component Analysis (PCA) and cluster analysis in health research. Proficiency in English
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Experience working with online assessment technology Advanced statistical analysis and modelling skills Programming skills, particularly MATLAB and/or Python Experience with analysis of brain imaging and blood
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computational skills (e.g., Python, R; simulation or optimization tools) • Experience working with real-world datasets, ideally including clinical, operational, or health-related data • Excellent communication
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stored procedures. · Proficient utilizing MS Visual Studio to create and maintain SSIS packages. · Analytics Programming experience including; R and/or Python. Please Note: Verification of
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neuroscience is highly desirable. We are looking for someone with: Experience in real-time human data processing Advanced programming skills (e.g., Python, MATLAB, C) A collaborative mindset and excellent
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when they arise Experience with scripting languages (Javascript, Python, Powershell) Experience with version control (Git, SVN) Knowledge of Infrastructure as Code tools (Terraform, Ansible) Ability
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). Contribute to sport business and operations analytics projects as needed (e.g., ticketing, fan engagement, and scheduling). Build and maintain data pipelines and models using R, Python, SQL, and cloud
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 3 hours ago
processing (segmentation and biomodelling). • Experience in developing applications in Unity. • Advanced knowledge of Python and C# programming languages. • Ability to design and execute clinical validation