Research assistant - Deep learning in satellite imagery to monitor health indicators in LMICs Erstellt am 8/1/22, 10:57 PM
The Heidelberg Institute of Global Health (HIGH) is looking for a HiWi to assist with a project that will use convolutional neural networks in satellite imagery to predict global health indicators. Under the guidance of Dr. Pascal Geldsetzer and other researchers at Heidelberg and Stanford University, the student will help with assembling the dataset for analysis and building the convolutional neural networks. The broad aim of these analyses is to test whether satellite imagery could be used to monitor important health indicators in low- and middle-income countries at a highly granular geographic and temporal level. The number of hours per months is negotiable. Working remotely is possible.