210 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"KU-LEUVEN" positions at King's College London
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interpretation. The post-holder will take the lead in liaising with researchers in external collaborating groups to harmonise the genetic, transcriptomic, proteomic, clinical and experimental data for the study
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blockade by monoclonal antibodies. The post-doc will work in a multi-disciplinary environment, alongside data analysts in a group including PhD students as well as master’s and undergraduate students
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corrective and preventive actions Evidence of strong communication skills, when conveying complex and highly specialist information to analytical staff Knowledge and understanding of document control and
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, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in
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maximising co-stimulation and their influence on the effectiveness of costimulatory blockade by monoclonal antibodies. The post-doc will work in a multi-disciplinary environment, alongside data analysts in a
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at the bottom 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 pride
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and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be
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. The post is based at the Ule Regulatory RNA Networks lab at UKDRI Centre at King’s. The lab consists of 8 researchers including PhD students and postdoctoral fellows. For more information, please see the
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efficiently, reliably and to a high technical standard. The primary purpose of the role is to provide skilled laboratory support across the project, generating high-quality data in molecular biology and cell
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an exciting opportunity for a Postdoctoral Research Associate to join their dynamic, interdisciplinary team to shape how multimodal bioimaging data is stored, shared and reused. The Parsons Group is based in