25 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at King's College London
Sort by
Refine Your Search
-
modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial transcriptomics, proteomics, metabolomics, and metallomics data. Using advanced techniques
-
About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant Next
-
research programme takes a mixed methods approach. The successful applicant will have a key role in the qualitative work package which aims to understand multi-stakeholder perspectives of the C(E)TR process
-
, if they are admitted. The impact of C(E)TRs on clinical and other outcomes has not been extensively studied. The OptiCaT research programme takes a mixed methods approach. The successful applicant will have a key role
-
compared to numerical data (UU), and field measurements, obtained from Orsted. The goal of the team is to identify and model the entrainment processes which ‘replenish’ the kinetic energy deficits generated
-
hardware components, notably integrating communication, sensing and computing, are essential to ensure efficient spectrum utilization and reduce hardware costs in 6G networks. Besides connectivity and
-
in a computational model of paranoia may be influenced by THC administration or in support-seeking participants under sober conditions. The postholder will collect a range of psychopharmacology
-
within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
-
planned work, including one of the UK’s only 7 Tesla MRI systems located inside a hospital environment, state-of-the-art engineering and physics laboratories, high-performance computing, and industry
-
lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a