We have 1,787 self PhD Projects, Programmes & Scholarships

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self PhD Projects, Programmes & Scholarships

We have 1,787 self PhD Projects, Programmes & Scholarships

Programming Colloidal Self-Assembly for Advanced Materials

A PhD place is available with Dr Dwaipayan Chakrabarti in the School of Chemistry at the University of Birmingham on a project themed on designing and developing colloidal advanced materials, using high-performance computing, underpinned by theories of statistical mechanics and wave propagation in periodic structures. Read more

Development of polymerisation-induced self-assembly (PISA) systems for mechanochemical transformations

Block copolymers (BCPs) have potential in applications ranging from drug delivery to sensing or functional coatings due to their ability to form a wide range of controlled self-assembled nanostructures in solution. Read more

SELF-RE-PREG: Self-Sensing Interleaving for Recycled Prepreg

This PhD will be partly funded by an Italian Ministry of University project aiming at developing a composite laminate material made from scrapped pre-pre, with a piezoelectric nano sensor embedded to provide information on mechanical properties, and health monitoring. Read more

Self-assembly of nanoparticles on thin films and droplets of surfactant-polymer mixes

Many types of nanomaterials rely on the self-assembly process of their corresponding nanoparticles. Soft matter thin films are often used as templates to direct the assembly of the nanoparticles into desired arrangements. Read more

Self-regulating, self-cleaning biomaterials

A major problem associated with medical devices is infection. With infection rates of approaching 100% in some devices, ways to prevent formation of bacterial biofilm on medical device surfaces are urgently required. Read more

Self-assembly of nanoparticles on thin films and droplets of surfactant-polymer mixes

Many types of nanomaterials rely on the self-assembly process of their corresponding nanoparticles. Soft matter thin films are often used as templates to direct the assembly of the nanoparticles into desired arrangements. Read more

Self-Supervised Learning for Complex Visual Understanding

94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021. The aim of this PhD project is to advance the state-of-the-art in computer vision through the development and application of self-supervised learning (SSL) techniques. Read more

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