53 postdoc-distributed-algorithms positions at University of Sheffield in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
flow are significantly increased across various new entities such as distributed energy sources. This will lead to additional information and communications requirements, as well as new information
-
will allow exploration of various forest configurations, including differences in tree density, species, and spatial distribution. Laboratory experiments will complement these models, using scaled-down
-
participate in developing algorithms for tau lepton identification, and will also have the opportunity to assist with silicon module construction for the ATLAS tracker upgrade. Instructions for applying can be
-
argon. The analysis of the ProtoDUNE data will help to validate calibration techniques and particle identification algorithms. The candidate should have a good knowledge of particle physics and experience
-
for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
-
and how they might respond to incentives and structures. This will consider how flexibility potential will be distributed spatially and across different socio-economic groups. The V2X contracts will be
-
-homogeneously distributed on every heat transfer surface along with different surface defects. These features have a strong impact on boiling conditions but are mostly overlooked in available CFD models. Ideal
-
distributed tasks such as inspection of a big geographic area for fires is an important objective of this project. The project aims are to: 1) provide methodological contributions towards intelligent sensing
-
Deadline: 31 October 2025 Details This project aims to develop new algorithms for reinforcement learning from human feedback, to effectively solve complex reinforcement learning tasks without a predefined
-
on product quality (phase assemblage, relative zirconolite yield, density, composition, surrogate oxidation state and NA distribution) must be assessed by routine in-house techniques (XRD, SEM) and advanced