316 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" positions at University of Sheffield in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
or upper second class honours degree or significant research experience. Candidates must have a first or upper second class honors degree or significant research experience. A background in computer
-
Computational imaging: seeing beyond the capabilities of conventional optics
-
recruitment strategies for a novel prostate cancer screening study. Prostate cancer is the second commonest cause of cancer death in men in the UK. Currently there is no NHS screening programme, with men
-
. The successful applicant will use a variety of imaging and computational image analysis techniques to generate a 3D morphometric atlas of post-embryonic stages of otic development in the wild-type zebrafish, with
-
Electron Beam Powder Bed Fusion Additive Manufacturing (AM) through the use of thermodynamic and process model informed edge compute closed-loop control systems. Focusing on thermal compensation within
-
to explore key technologies and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: The green industrial futures
-
to explore key technologies and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: Both carbon removal
-
lead and perform research in these areas, who will have practical experience of blast experimentation, underwater blast loading, and demonstrable computational modelling experience in a relevant area
-
Overview We are seeking to appoint a non-standard Admissions Officer to support the School’s non-standard admissions activities required for healthcare courses, including the organisation of interview schedules, and attending interview days providing key support. You will undertake a range of...
-
will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing