**Job Description**
This Ph.D. project aims to investigate the underlying causes of reduced exercise capacity and post-exertional malaise (PEM) in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The candidate will analyze existing data from Harvard Medical School and collect new data using non-invasive techniques such as magnetic resonance imaging (MRI) and near-infrared spectroscopy (NIRS) to study muscle changes in ME/CFS patients and healthy individuals. The goal is to gain deeper insight into muscle abnormalities linked to exercise limitations and PEM, with the aim of improving patients’ quality of life and developing non-invasive measurements for clinical research and care.
**Skills & Abilities**
• Strong affinity for both experimental science and advanced data analysis using Matlab and/or Python.
• Deep understanding of muscle exercise physiology and/or human physiology, from the cellular to the whole-body level.
• Knowledge or experience of NIRS, MRI, and high resolution respirometry or wet lab experience (advantageous).
• Experience working with human subjects or patients.
• Excellent communication skills to collaborate effectively with patients, clinicians, and other researchers.
• Fluent in English, both verbally and in writing.
**Qualifications**
Required Degree(s) in:
• Movement Sciences (Exercise Sciences, Sport Sciences or Kinesiology)
• Technical Medicine
• Biomedical Sciences
**Experience**
Other:
• Experience working with human subjects or patients.
• Knowledge or experience of NIRS, MRI, and high resolution respirometry or wet lab experience will be an advantage.
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