In unprecedented times of challenge, architecture must question and redefine its priorities, to connect with nature and serve ...

From tech giants rolling out new tools designed to speed up development cycles along with billion-dollar mega-deals in AI, ...

AI was an elite technology—expensive, experimental, and largely confined to Silicon Valley giants. Today, it’s quietly ...

IIT Delhi has overhauled its curriculum for undergraduate, postgraduate, and PhD programmes, to be implemented from the ...

Further study for a PhD in our leading centre for doctoral training and research is another common route for our graduates. MA Urban Design and Planning graduates are popular with employers in both ...

At DMU, we have an ambitious Research Strategy which aims to make research central to our mission as a university. We believe that a diverse range of researchers produces the best research and our ...

Structure-based drug design is the design and optimization of a chemical structure with the goal of identifying a compound suitable for clinical testing — a drug candidate. It is based on ...

Protein design (or protein engineering) is a technique by which proteins with enhanced or novel functional properties are created. Proteins can be engineered by rational design, which typically ...

Browse our PhD opportunities and be part of our research community making a substantive contribution to academia, society, and the economy. Bringing together expertise from across Design and Creative ...

About the project: Applications are invited for an exciting PhD research project in the interdisciplinary field of artificial intelligence (AI) powered manufacturing and structural design for ...

and the proposal should outline your area of research, core questions, methodologies, approach and timescale (this should be no more than 2,500 words) - see further guidance on applying for a PhD.

Prospective students will also join the Biomedical Image Analysis Group. The PhD research will explore the important topics of multimodal representation learning in biological data. Particularly, the ...