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, with proficiency in Python and deep learning frameworks like PyTorch, Hugging Face, sklearn, tensorflow. Excellent verbal and written communication skills Experience with GPU training and handling large
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in python programming and machine learning models for molecular discovery and chemical property prediction. For informal enquiries, please contact Dr Martin-Martinez at francisco.martin-martinez
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formats (DICOM, NIfTI) and image preprocessing tools (e.g., MONAI, SimpleITK). Excellent programming skills, demonstrated through available code or projects, with proficiency in Python and deep learning
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experimental chemistry, providing a supportive research environment. Applicants should have a PhD in Chemistry or related field, and extensive experience in python programming and machine learning models
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Criteria Demonstrated experience with mathematical modelling, algorithm design, or theoretical analysis of learning systems. Proficiency in Python Background in statistical learning theory, conformal
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experimental chemistry, providing a supportive research environment. Applicants should have a PhD in Chemistry or related field, and extensive experience in python programming and machine learning models
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, including ability to prioritise workload and work to deadlines. Desirable criteria Scripting skills and experience in one or more open-source languages (e.g. Python, R) Prior experience/knowledge of cannabis
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computational semantics models, word sense disambiguation, or semantic change detection Proficiency in Python and relevant NLP libraries Experience working with large-scale corpora or annotation pipelines Strong
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, including ability to prioritise workload and work to deadlines. Desirable criteria Scripting skills and experience in one or more open-source languages (e.g. Python, R) Prior experience/knowledge of cannabis
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Language Processing, or a closely related field* Demonstrated experience with computational semantics models, word sense disambiguation, or semantic change detection Proficiency in Python and relevant NLP libraries