49 parallel-computing-numerical-methods positions at Trinity College Dublin in Ireland
Sort by
Refine Your Search
-
is seeking to appoint a CASA Programme Officer, reporting to the Global Mobility Manager, Trinity Global. This role will be funded by the Consortium for Advanced Studies Abroad (CASA) and so it also
-
energy through more efficient design of piled foundations. The PhD student will focus on grain scale mechanics experiments and numerical modelling using the Discrete Element Method (DEM) with the aim
-
project “Ground Rigid Install Pile Anchor – GRIP Anchor”. The project is being led by Gavin and Doherty Geosolutions (GDG) with the aim of undertaking laboratory testing and numerical modelling of a novel
-
to completion). Candidates will have expertise in the digital humanities, with a specific emphasis on computational methods, digital storytelling and/or and digital cultural heritage. They must be willing and
-
play a leadership role in expanding this research programme, and will facilitate supervisor induction and engagement. The discipline has a close working and research relationship with the discipline of
-
to implementation; non-pharmacological to pharmacological approaches) suitable for all stages and sub-types of dementia (i.e. from preclinical to advanced stage dementia). Our studies will apply different methods
-
a Teaching Fellow appointment with a special focus on contributing to the postgraduate programme in Applied Social Data Science. In particular, this includes full-time support for the modules in
-
scholarship aims and methods, as well as helping with community building, is an important part of the post, both in Trinity and beyond. Post status: Specific Purpose Contract This appointment is for
-
cognitive impairment, brain-injury and healthy volunteers. Our studies use imaging, biomarkers and neuropsychological methods to assess healthy volunteers, carers and patients. The post holder will help with
-
at Trinity College Dublin (TCD) seeks to appoint an outstanding, enthusiastic, and highly motivated Research Fellow who will contribute to a project that uses machine-learning methods to forecast