46 modelling-complexity-geocomputation Fellowship positions at University of Birmingham
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gene knockdown efficiency, siRNA stability, off-target effects, and modulation of OA-related biomarkers in human cell and ex vivo tissue models. 4. Evaluate in vivo delivery, knockdown efficacy, and
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capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess resource requirements and use
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. This will include: Develop research objectives and proposals, with assistance of a mentor if required Analyse and interpret data and models, including contribution to new techniques and methods Present high
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publications in leading subject-specific journals within that field High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and
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, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data and processes guided by principles
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related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Contribute to Departmental/School research-related
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modelling and experimentation. The project will make full use of the ADvanced RAdar Network (ADRAN) facility at the University of Birmingham (UoB) – a networked radar testbed comprising two Commercial-Off
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omics approaches to identify and analyse novel enzyme/substrate complexes and new ubiquitylation targets involved in transcriptional elongation and nucleic acid repair. Analyse and interpret research
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PhD (or near to completion) in relevant subject area (structural biology or biophysics) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models
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using COM-B categories and the behaviour change wheel model, and identification and selction of behaviour change techniques. You will be based in the Department of Applied Health Sciences