24 parallel-computing-numerical-methods-"https:" Postdoctoral positions at King's College London
Sort by
Refine Your Search
-
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
-
Mental Health Younger Generations Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis
-
techniques Experience in protein expression and purification methods Good understanding of structural and molecular biology and biochemistry * Please note that this is a PhD level role but candidates who have
-
work make a real-world impact? King’s College London is seeking a talented Postdoctoral Research Associate to join the pioneering NanoCure project, an ambitious programme developing medical-grade
-
probability theory. A good starting point to get familiar with the topic is the paper ‘Sharp threshold for the ballisticity of the random walk on the exclusion process’ ( https://arxiv.org/abs/2409.02096 in
-
working effectively as part of a multi-disciplinary research team. An enthusiasm for healthcare data research and willingness to adapt and learn new research methods. Desirable criteria Knowledge
-
probability theory. A good starting point to get familiar with the topic is the paper ‘Sharp threshold for the ballisticity of the random walk on the exclusion process’ (https://arxiv.org/abs/2409.02096 ). You
-
Hopkins University (USA), and Google Deepmind (London).* About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk
-
the Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences (NMES). The department is internationally recognised for its contributions to robotics, AI, and human-centred
-
the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with cloud or distributed computing environments