327 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, including how to guarantee the properties of stability and constraint satisfaction while probing the system and learning a new model. This project aims to develop novel algorithms for the adaptive distributed
-
-identified scans, records and sensor feeds to answer questions such as: Can we predict a patient’s response to treatment without ever seeing their raw file? Can an algorithm learn the warning signs of trouble
-
Mathematical Modelling of Neurovascular function: Developing and refining brain tissue models to enable world leading research into neurovascular coupling in health and disease School of Psychology
-
Heterogeneity in the development of antisocial behaviour School of Psychology PhD Research Project Self Funded Prof Richard Rowe, Dr CB Stride Application Deadline: Applications accepted all year
-
/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
-
The evolution and development of vertebrate skin appendage morphogenesis
-
Integration of renewables into energy systems-forecasting model development and analysis School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed
-
Development of biofidelic test-beds for assessing human interactions School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof M Carre, Prof R Lewis, Dr J Rongong
-
-driven designed electrodes. As a Research Associate working on Xerode you will research and develop novel particle engineering and deposition techniques, to produce powders suitable for dry printing
-
-scale micro and macroeconomic datasets, ensuring their accuracy and integrity for use in the project's models. Assist in the development and implementation of advanced econometric models. Maintain