5 education PhD positions at University of Nicosia Medical School

PhD in Medical Sciences in field of Medical Education for the PhD Research Project ‘PHD-2023-5: Investigating students’ preparation for clinical training skills in medical undergraduate education’

in the fields of Medical Education. The successful candidate will enrol on the PhD programme in Medical Sciences and will work under the Supervision of Dr Panayiota Andreou with expertise in the fields

Acceptance of Applications for the PhD in Medical Sciences in field of Medical Education for the PhD Research Project ‘PHD-2023-5: Investigating students’ preparation for clinical training skills in

Acceptance of Applications for the PhD in Medical Sciencesin field of Medical Education for thePhD Research Project ‘PHD-2023-5: Investigating students’ preparation for clinical training skills in

Scholarship for the PhD in Medical Sciences in the field of Sleep Science and Neuroscience for the PhD Research Project ‘PHD-2023-3: Development of a Machine Learning-based nightmare detection method for recurrent nightmare treatment in PTSD’

wearable EEG devices that are on the market. The sleep EEG data collected will then be used (2) to train a ML learning algorithm to predict negative or non-negative dream affect.The Scholarship:The PhD

Scholarship for the PhD in Medical Sciences in the fields of Epidemiology and Environmental Health for the PhD Research Project PhD Research Project ‘Climate change-related environmental risk factors and perinatal health’

, analysis, and interpretation, with candidates having the opportunity to develop skills in statistics, epidemiology, and environmental science and more, enhancing their ability to work across disciplines. It

Scholarship for the PhD in Medical Sciences in the field of Sleep Science and Neuroscience for the PhD Research Project ‘PHD-2023-3: Development of a Machine Learning-based nightmare detection method for recurrent nightmare treatment in PTSD’

recordings will be acquired through small low-cost sleep wearable EEG devices that are on the market. The sleep EEG data collected will then be used (2) to train a ML learning algorithm to predict negative