Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
. 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
-
-authoring a related journal article. About you Applicants will possess a relevant PhD (or be near completion) or possess an equivalent qualification/experience in African or humanitarian history or a related
-
, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building
-
, 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
-
following skills and experience: Essential criteria PhD in a relevant field, such as digital health, engineering, computer science, or population health, health services research Advanced knowledge of digital
-
the Centre 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
-
criteria PhD or equivalent in relevant area. Experience of delivering high quality teaching to undergraduate and/or postgraduate students Solid record of publication of high-quality research outputs suitable
-
metabolism and absorption in the context of drug discovery. Applicants should have a PhD in Chemistry, with a strong background in synthetic methodologies and analytical techniques, especially concerning
-
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
-
. 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