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The idea that exam results should be assessed differently based on a student’s socio-economic background is known as differential treatment, and Emil is investigating whether such policies can improve equality and efficiency in education and labour markets.
Hard skills in STEM encompass the technical and specialized knowledge that students acquire in the fields of science, technology, engineering, and mathematics. Here are some primary hard skills: DataAnalysis: The ability to collect, interpret, and draw meaningful conclusions from data.
If you are interested in bioinformatics and using datascience to improve dental health, Erliang also recommends studying statistics, computer science and learning programming languages such as R and Python. These will still provide rich experiences for you.
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