Postdoctoral Fellow
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Key skills for this role
About the Role
The Department of Genetics and Genomics at UAEU seeks a Postdoctoral researcher to apply AI, ML, and NLP to diagnose rare diseases using EHR data. Candidates need a PhD in a quantitative field, Python proficiency, and a strong publication record.
Key Skills for This Role
Responsibilities
- Conduct advanced, independent, and collaborative research in ML, NLP, and LLMs with a focus on rare disease diagnosis
- Design, implement, and evaluate novel ML models, including LLMs and NLP techniques, customized for clinical datasets
- Work closely with a collaborative team of PhD students and Research Assistants, providing technical guidance, hands on mentorship, and project co supervision
- Lead and participate in the planning, designing, and executing of research experiments, ensuring robust statistical validation and analysis of clinical data
- Translate research outcomes into high impact publications for top tier, peer reviewed journals and present findings at major international conferences
- Assist faculty members in drafting competitive research grant proposals to secure external funding
- Actively participate in academic and departmental activities, including seminars, workshops, journal clubs, and cross institutional collaborations
Requirements
- PhD in Artificial Intelligence, Data Science, Computer Science, Bioinformatics, or a closely related quantitative field
- Proven track record of research productivity demonstrated by first author publications in peer reviewed journals or top tier conferences
- Strong foundational and practical knowledge of AI, ML, and NLP techniques
- Proven proficiency in Python programming and experience with data science frameworks
- Experience with LLMs, NLP, or multimodal data integration is highly preferred
- Excellent analytical, algorithmic, and problem solving skills
- Strong communication skills in English
- Demonstrated leadership and interpersonal skills, with a track record of mentoring junior researchers or graduate students
- Proven ability to work independently, manage multiple priorities, and meet project milestones within a one year timeline
Full Job Posting
Job Description
- The Department of Genetics and Genomics at the College of Medicine and Health Sciences, United Arab Emirates University (UAEU), is looking for a highly skilled, motivated, and collaborative Postdoctoral researcher.
- This position focuses on leveraging advanced Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) techniques to advance research into diagnosing rare diseases using Electronic Health Record (EHR) data.
Minimum Qualification
- PhD in Artificial Intelligence, Data Science, Computer Science, Bioinformatics, or a closely related quantitative field.
- Proven track record of research productivity demonstrated by first author publications in peer reviewed journals or top tier conferences (e.g., NeurIPS, CVPR).
- Strong foundational and practical knowledge of AI, ML, and NLP techniques.
- Proven proficiency in Python programming and experience with data science frameworks.
- Experience with LLMs, NLP, or multimodal data integration is highly preferred.
Expected Skills
- Excellent analytical, algorithmic, and problem solving skills.
- Strong communication skills (both written and verbal) in English, with the ability to present complex technical ideas to clinical communities.
- Demonstrated leadership and interpersonal skills, with a track record of mentoring junior researchers or graduate students.
- Proven ability to work independently, manage multiple priorities, and meet project milestones within a one year timeline.
- High level of organizational skill and focused attention to research details.
Responsibilities
- Conduct advanced, independent, and collaborative research in ML, NLP, and LLMs with a dedicated focus on rare disease diagnosis.
- Design, implement, and evaluate novel ML models, including LLMs and NLP techniques, customized for clinical datasets.
- Work closely with a collaborative team of PhD students and Research Assistants (RAs), providing technical guidance, hands on mentorship, and project co supervision.
- Lead and participate in the planning, designing, and executing of research experiments, ensuring robust statistical validation and analysis of clinical data.
- Translate research outcomes into high impact publications for top tier, peer reviewed journals and present findings at major international conferences.
- Assist faculty members in drafting competitive research grant proposals to secure external funding.
- Actively participate in academic and departmental activities, including seminars, workshops, journal clubs, and cross institutional collaborations.
Close Date
- Kindly apply before the closing date: 28/08/2026.
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