255 programming-"the"-"DAAD"-"EURAXESS"-"U"-"IMPRS-ML"-"IMPRS-ML" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
facing the UK’s programme of remediation and restoration of the Sellafield site, expected to be complete in the next century. The PUMaS hub will support ~20 PhD students along with research staff, creating
-
] Ability to assess and organise resources, and plan and progress work activities. [Application Form, Interview] Desirable criteria Experience of supervising support staff, ensuring they have the information
-
programme grant on hybrid energy storage systems for grid-independent EV charging stations and there will be significant opportunities for the successful candidate to interact with the interdisciplinary team
-
campaigns including programmed screening or Bayesian optimisation. You will characterise the resulting materials, in terms of their properties and performance for an intended application. Sustainability will
-
Sellafield Ltd, and be part of a comprehensive doctoral training programme in this area at The University of Sheffield, led by the primary supervisor Dr Brant Walkley, in collaboration with Sellafield Ltd. and
-
solid understanding of solid mechanics, continuum mechanics and material behaviour. Proficiency in programming (e.g., Python) and experience with numerical methods (e.g., FEM) are desirable. Familiarity
-
to enable you to participate in any element of the recruitment process you can contact the Research Recruitment Team at COM-ResearchRecruitment@sheffield.ac.uk Our vision and strategic plan We
-
, transcriptomics arrays and serological assays will be exploited to investigate biomarkers in cultured cells (primary supervisor). Field work at the Malawi Liverpool Wellcome Trust Clinical Research Programme will
-
@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will take place shortly after the closing date. This will consist of a presentation and interview. We plan to let
-
; computer vision; and machine learning. Ability to initiate, plan, organise, implement and deliver programmes of work to deadlines. Ability to work with people from different backgrounds and in team across