"Post-doctoral Fellow in the Division of Neurology of the Department of Medicine, School of Clinical Medicine (Ref.: 534117)"

Ref.: 534117

Work type: Full-time

Department: Department of Medicine, School of Clinical Medicine (20600)

Categories: Senior Research Staff & Post-doctoral Fellow

Post-doctoral Fellow in the Division of Neurology of the Department of Medicine, School of Clinical Medicine (Ref.: 534117)

We now invite applications for the captioned post.

Duties and Responsibilities

• Assist in collaborative multi-omic research projects relating to gut microbiota and vascular and brain health
• Involve in the design, implementation, and testing of statistical and AI software for analysing large healthcare-related data, including data from electronic health records, medical images, and sensor data from wearable devices
• Responsible for writing up results, training and supervising students and junior staff, preparing manuscripts, drafting and submitting competitive internal and external grants
• Perform other duties as assigned

Requirements

• A Ph.D. degree with a strong research background in bioinformatics, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics
• Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics, proteomics and metabolomics data
• A good command of written and spoken English
• Strong communication skills
• A demonstrated track record of publishing academic research papers
• Self-motivated, hardworking, and able to work well in an interdisciplinary team

What We Offer

The appointee would be exposed to ample opportunities in developing an academic career. The appointment will commence as soon as possible on a temporary basis for 1 year, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.

Those who have responded to the previous advertisement (Ref.: 533560) need not re-apply.

How to Apply

The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from [two weeks from posting] and continue until [one month from posting], or until the post is filled, whichever is earlier

The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency