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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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The position is funded by the Open Philanthropy grant “Verifiably Robust Conformal Probes”. The project’s goal is to develop methods for latent probing (aka activation monitoring) of large language models (LLMs
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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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, epidemiological, and data science perspectives. The postholder will hold a PhD in Medical Statistics/Biostatistics, Mathematics, Computer Science, Epidemiology, or another quantitative discipline, and will have
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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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The Role The Department of Digital Humanities is a global leader in researching digital media, culture and society, and in exploring the use of advanced technology-related methods in humanities research
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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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will hold a PhD in Medical Statistics/Biostatistics, Mathematics, Computer Science, Epidemiology, or another quantitative discipline, and will have strong programming skills, attention to detail, and
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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