384 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
round Details This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals
-
., manuscripts for publication and grant applications. Plan for specific aspects of the research programme. If given a particular hypothesis to examine, plan for own contribution up to 3 months ahead
-
take place in the weeks following the closing date. This will consist of a visit to the lab to meet the team and a research presentation and interview. Our vision and strategic plan We are the University
-
anticipated that the selection process will take place on the week commencing 8 September 2025. This will consist of an interview and presentation. We plan to let candidates know if they have progressed
-
planning, student intake forecasting, tuition fee setting and new programme financial viability assessments. This involves collaborating with other professional services teams, analysing complex information
-
computer program that will compute the cohomology of arithmetic groups for GL(2) over a definite rational quaternion algebras together with Hecke action. The second objective is to use this program to carry out
-
and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: The field of environmental data analysis has seen
-
net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: The automotive industry faces significant challenges in reducing CO2 emissions during the painting
-
optimal control in addressing these challenges. At the sub-system level, there is an increasing need to develop methods that would allow efficient management of different energy sources. Then at
-
, including sequential Monte Carlo methods, Gaussian processes and Bayesian compressed sensing. Applicants from different backgrounds are encouraged to apply depending on the specific nature of the project