Sort by
Refine Your Search
-
including the following: Use of Machine Learning; Web applications; Exploiting the capabilities of the University’s High Performance Computing facilities particularly in data-intensive applications. The post
-
or more of these technologies: ◦ Shared and distributed memory programming tools) (e.g. OpenMP, MPI, CUDA) ◦ Make and other build and installation management tools ◦ Machine learning
-
industry and regulatory standards for example those that relate to, data protection, appropriate computer use, ITIL standards. Operate a range of IT tools. Operate everyday software tools and computer
-
. Candidates with strong track records in computational tropical geometry, non-archimedean analysis and geometry, machine learning, and related areas are encouraged to apply. Hybrid and flex working arrangements
-
, technical and creative equipment. Desirable Criteria 17. Experience in one or more of the following: a) operating system internals and device drivers b) real-time computer systems c) distributed
-
(or equivalent experience). 2. Knowledge and experience of computer aided facilities management (CAFM) systems. 3. Knowledge of AutoCAD. 4. Health and safety related
-
including robotics, human computer interaction, data visualisation and computer graphics including those with strong links to related work in neural computation and deep machine learning. The applicant will
-
regulations, including correctly wearing any protective clothing or equipment provided and being aware of any hazards. · Learn how to use everyday equipment and tools e.g. cleaning machines, from more
-
of a catalogue of material composition of satellites 2. Developing material degradation models and estimating the material properties based on life and degradation. 3. Developing machine learning
-
applicants with expertise in the fields of artificial intelligence, computer vision, edge computing, digital twins, human-computer interaction, user modelling, robotics, resilient computing, where