PhD Candidate in Multiomics and AI: Join the department of Cell Biology-Inspired Tissue Engineering (cBITE) at the MERLN Institute for Technology-inspired Regenerative Medicine at Maastricht University, Netherlands, as a PhD candidate to work on innovative proteomic strategies for early diagnosis of osteoarthritis (OA).
PhD Candidate in Multiomics and Artificial Intelligence for Early Diagnosis of Osteoarthritis
Designation: PhD Candidate in Multiomics and Artificial Intelligence
Research Area: Early Diagnosis of Osteoarthritis using Proteomics and Artificial Intelligence
Location: Maastricht, Netherlands
Eligibility/Qualification:
- Master’s degree in biochemistry, analytical chemistry, or related field
- Strong background in proteomics, mass spectrometry, and serum/plasma protein analysis
- Experience with molecular biology techniques and data analysis tools
- Proficiency in programming, artificial intelligence, and machine learning in biomedical research
- Excellent analytical, problem-solving, and communication skills
- Prior experience in osteoarthritis research (beneficial)
Job Description:
- Develop and optimize proteomic workflows to study OA development mechanisms
- Conduct proteomic analysis to identify key proteins in OA onset
- Utilize AI and machine learning to enhance predictive test accuracy
- Validate biomarkers and tests through multiomic platforms and clinical studies
- Collaborate with interdisciplinary teams and communicate research findings effectively
How to Apply: Submit a cover letter, statement of research interests, CV, and references to b.cilleropastor@maastrichtuniversity.nl. Application deadline: 09/04/2024.
Last Date for Apply: 04 September 2024
