拉夫堡大学在研究强度（REF2014）方面是英格兰排名前十的大学，并且有资格提交给REF的拉夫堡学术人员中有66％的杰出工作被评为“世界领先”。或“国际一流”，而全国平均水平为43％。<br>在选择拉夫堡进行研究时，您将与该领域的领导者一起工作。您将受益于我们的全面支持和指导，包括量身定制的职业建议，以帮助您在研究和未来职业中取得成功。<br>项目详细信息：<br>影像光体积描记术（iPPG）是一种新兴的光学成像技术，可以无创地检测具有选定目标区域的组织中微血管血容量的变化。拉夫堡大学的iPPG是采用La
Boolean functions are used as components in the design of many symmetric ciphers (for example S-boxes for block ciphers like AES, or the non-linear component of stream ciphers). These functions have to satisfy certain properties in order to resist known cryptographic attacks. In this project we consider a family of such properties, called PN (Perfect non-linear), APN (almost perfect non-linear) and GAPN (generalised APN). There are some well-known functions with these properties, but recently new methods of constructing such functions have been proposed, involving a combination of theoretical results and computer search. We aim to further develop these methods and obtain new such functions.