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. Ability to use computer algebra software (e.g. Mathematica or Maple) for symbolic computations 2. Good numerical skills 3. Experience in field-theoretical methods (e.g. supersymmetry) 4
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, utilising implementation science methodology. The interventions will then be evaluated in a data-enabled clinical trial. This role is suitable for post-PhD researchers with experience in qualitative or mixed
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wearable sensors for resting breathing data collection. They will also ascertain whether the quality of home monitored data is suitable for SPAR analysis (in house software). Key responsibilities: Optimise
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for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in
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bachelor’s or master’s degree (minimum 2:1). PhD qualified in relevant subject area*(e.g., epidemiology, population health, quantitative social science, statistics, psychology, developmental psychology
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, we are looking for candidates to have the following skills and experience: Essential criteria PhD in relevant subject area * Experience in working with bioimaging and other spatial data, including
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. The project has a strong emphasis on software development; the candidate will develop and maintain workflows and datasets related to the project according to FAIR principles, supported by Dr Matta and KCL’s E
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validation/testing of novel mixed conducting materials. The project has a strong emphasis on software development; the candidate will develop and maintain workflows and datasets related to the project
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analysing the intersection of the financial and fertility sectors as a key site of reproductive politics. Using qualitative methods, this project consists of three work streams analysing case studies that may
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD level qualified in synthetic chemistry, nanomaterials, radiochemistry (or relevant chemistry field