Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
the limits of these computational techniques through proof-of-principle experiments using visible light, you will be exploring extensions to the methods that enable imaging in three dimensions and at ultra
-
Computational modelling of two-dimensional graphene-based materials School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Natalia Martsinovich Application Deadline
-
mechanisms that underlie the first steps of cell dissemination from the primary tumour. This will involve developing methods to live image tumour cell dissemination from primary tumours, and out of a complex
-
, but current methods are not always efficient or optimal. The process lacks an intelligent, informed approach to selecting the best grinding parameters, which can lead to inefficient maintenance actions
-
Computational modelling of chemical interactions in soil School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Natalia Martsinovich Application Deadline: Applications
-
Computational Astrochemistry/Formation of Complex Organic Molecules in the ISM School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application Deadline
-
, Materials 4.0 and Materials informatics and will support other research areas as required. As part of an integrated team, the RBE Lead will coordinate closely with equivalent functions at Royce Partner
-
to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
-
of such program could be done in case of it was necessary. For instance, for the linkage of new material models or certain numerical features such as a new finite element. This research will benefit from excellent
-
of male quality. Specific questions and approaches taken can be tailored to the particular interests of the student, but objectives could include: (1) Applying cutting-edge genomic methods to study the