36 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions at KINGS COLLEGE LONDON
Sort by
Refine Your Search
-
Experience in analysing drugs and metabolites from human breastmilk Competency in using computer software to collect and process data, e.g. use of Excel, statistical software and machine learning approaches
-
assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected
-
of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further information: We ask all candidates
-
document will provide information of what criteria will be assessed at each stage of the recruitment process. HR Use Only (Research G6 Clause): * Please note that this is a PhD level role but candidates who
-
programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
-
systems, and with some numerical skills. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and
-
document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and
-
to make, an impact on how we understand, prevent and treat mental illness, neurological conditions and other conditions that affect the brain. The Department of Forensic and Neurodevelopmental Sciences
-
. signalling. Research experience with animal (mouse) work. Good verbal and written communication skills. Good practical and organisation skills. Computer skills (Office, information technology, bioinformatics
-
programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience