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analysis, basic scripting in R or Python, and integration of multi-omic datasets is considered an advantage. Candidates should also possess a strong publication record in high-impact journals and a
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and Python. Knowledge, Skills and Abilities: Solid understanding of common cellular and molecular mechanisms, early vertebrate development, skeletal physiology and genetics, associated structural birth
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have an interest in the use of AI in healthcare. Proven competence in programming methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David
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methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David Clifton (email: david.clifton@eng.ox.ac.uk). Only online applications received before
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. Demonstrated fluency in R, Python, or Stata programming languages and documentation (through prior research) of strong quantitative skills, as evidenced by application material. Ability to work both
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., NeurIPS, ICML, ACL, EMNLP, etc.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer
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at least one programming language: Python, MATLAB, R or C A strong publication record in relevant fields. Curiosity, critical thinking, and enthusiasm for interdisciplinary teamwork. Comfortable
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learn mathematical modeling and quantitative analysis Ability to program in at least one of the following languages: Python, MATLAB, R or C Evidence of outreach, mentoring or community building. Required
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or smiliar, and practical applications of LLMs, agents, RAG, MCP, or fine-tuning. Proficiency in software development (Python, C/C++), skills in data analysis, and scientific writing is essential. While all
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qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C and python, familiarity with