4 data-"https:"-"https:"-"https:"-"https:"-"Academia-Sinica" scholarships at Manchester Metropolitan University
-
and partner urban sites, the successful candidate will collect and analyse real-world environmental data to evaluate how vegetation interacts with the built environment. You will be supported by a
-
criteria: Knowledge of the molecular basis of ageing, muscle physiology, or the circadian clock. Experience or strong interest in data science, machine learning, or bioinformatics. Exposure to high
-
Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
-
, schedule experiments, collect and analyse data, present findings and oversee day-to-day running to project. Adherence to Good clinical and research practice guidelines will be required. The successful