26 parallel-computing-numerical-methods Postdoctoral positions at King's College London in Uk
-
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
-
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
-
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
-
qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and of research methods in systems neuroscience. Applicants must have a passion for
-
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
-
methods for generating simulation models of healthcare pathways in Python. The Health Service Modelling Associates (HSMA) Programme is an online national training scheme for public sector analysts
-
of study. They will have prior research experience of computational approaches and must also be able to demonstrate sufficient knowledge of the discipline, as well as research methods and techniques, to work within
-
-delivered systemic anti-cancer therapies. It requires a unique blend of expertise in pharmaceutical science, drone piloting, and analytical methods. The postholder will contribute to pioneering approaches in
-
Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis on various aspects of mental health and
-
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