professor profile picture

Fayçal Bensaali

Professor

University of Düsseldorf

Country flag

United Arab Emirates

Has open position

This profile is automatically generated from trusted academic sources.

Google Scholar

.

ORCID

.

LinkedIn

Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Continue in dashboard

Contact this professor

LinkedIn
ORCID
Google Scholar

Research Interests

Neuropsychology

20%

Medical Science

20%

Biomedical Engineering

20%

Machine Learning

20%

Digital Twin Technology

20%

Parkinson's Disease

20%

Positions2

Publisher
source

Yassine Himeur

University Name
.

University of Dubai

Postdoctoral Researcher in AI-Powered Digital Twin for Parkinson’s Disease Diagnostics at University of Dubai

The University of Dubai’s College of Engineering & IT is seeking a full-time Postdoctoral Researcher to join the SYNERGY-PD project, an AI-powered digital twin initiative for Parkinson’s Disease diagnostics funded by the Dubai Future Foundation RDI Grant. The project aims to develop precision diagnostics and monitoring tools for Parkinson’s Disease by integrating biomarker analytics, advanced AI modeling, and real-time patient simulations. The successful candidate will work on biomarker analytics (including α-synuclein isoforms and neuron-derived extracellular vesicles), AI pipelines for multimodal data integration (with Agentic AI approaches), and the development of patient-specific digital twins for real-time simulation and calibration. The role also involves validation with clinical partners using UPDRS scoring and DaTscan imaging, as well as contributing to high-impact publications and patent filings. The research team is led by Associate Professor Yassine Himeur (University of Dubai), with co-PI Prof. Shadi Atalla and international collaborators including Prof. Amin Beheshti (Macquarie University, Australia), Prof. Fayçal Bensaali (Qatar University), Dr. Ammar Albanna (Alamal Psychiatric Hospital, Dubai), and Prof. Wathiq Mansoor (American University of Baghdad, Iraq). The position offers the opportunity to collaborate with top researchers and clinicians, access advanced labs and datasets, and contribute to pioneering digital twin technologies for neurological disorders. Applicants should have a PhD in Computer Science, Computer Engineering, Biomedical Engineering, Neuroscience, AI in Healthcare, Bioinformatics, or a related field. Required skills include molecular biomarker analysis, machine learning, clinical data fusion, and proficiency in Python, R, MATLAB, or similar tools. Experience with clinical data interpretation, neuroimaging, and AI modeling is highly valued. Strong scientific writing, presentation, and collaboration skills are essential, along with an interest in clinical translation and healthcare impact. The position is fully funded for three years, with applications open until filled. To apply, submit your CV and cover letter to the College of Engineering and IT via the University of Dubai careers website. For more information, visit the provided application link or contact [email protected].

Publisher
source

Yassine Himeur

University Name
.

University of Dubai

Postdoctoral Researcher in AI-Powered Digital Twin for Parkinson’s Disease Diagnostics at University of Dubai

The University of Dubai is seeking a full-time Postdoctoral Researcher to join the SYNERGY-PD project, an AI-powered digital twin initiative for precision diagnostics and monitoring of Parkinson’s Disease. This project, funded by the Dubai Future Foundation RDI Grant, is led by the College of Engineering and IT and brings together a multidisciplinary team of international collaborators. The research focuses on biomarker analytics, including α-synuclein isoforms and neuron-derived extracellular vesicles, and the development of advanced AI pipelines for multimodal clinical data integration using Agentic AI approaches. The successful candidate will contribute to the design and real-time simulation of patient-specific digital twins, coordinate validation with clinical partners using UPDRS scoring and DaTscan imaging, and co-author high-impact publications and patents. Supervisors and collaborators include Associate Professor Yassine Himeur (University of Dubai), Professor Shadi Atalla (University of Dubai), Professor Amin Beheshti (Macquarie University, Australia), Professor Fayçal Bensaali (Qatar University), Dr. Ammar Albanna (Alamal Psychiatric Hospital, Dubai), and Professor Wathiq Mansoor (American University of Baghdad, Iraq). The project offers access to advanced labs, datasets, and dissemination platforms, and the opportunity to work at the intersection of AI, neuroscience, and clinical research. Applicants must have a PhD in Computer Science, Computer Engineering, Biomedical Engineering, Neuroscience, AI in Healthcare, Bioinformatics, or a related field. Required skills include molecular biomarker analysis, machine learning, clinical data fusion, and proficiency in Python, R, or MATLAB. Strong scientific writing, presentation, and collaboration skills are essential. The position is fully funded for three years, with a competitive salary and research support. Applications are open until February 25, 2026, or until the position is filled. To apply, submit your CV and cover letter via the University of Dubai College of Engineering and IT careers website. For more information, contact [email protected].

just-published