Kris ReensUnderstanding Barriers and Facilitators to Technology Adoption Among Older Adults: A Mixed-Methods Approach
Understanding Barriers and Facilitators to Technology Adoption Among Older Adults: A Mixed-Methods Approach
About the Project To explore and understand the multi-dimensional factors that either impede or facilitate the use of new technology among older adults, and to develop guidelines or interventions that … Read More Read More
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Jim TaylorEvaluating the risk of biguanides and statins on cancer incidence and mortality rates: a mixed methods study combining pharmacoepidemiological and experimental approaches
Evaluating the risk of biguanides and statins on cancer incidence and mortality rates: a mixed methods study combining pharmacoepidemiological and experimental approaches
About the Project In the UK, every two minutes someone is diagnosed with cancer and every four minutes someone dies from it– leading to more than 360,000 new cases and … Read More Read More
Categories:Statistics and AI for Engineering and Smart Manufacturing
Statistics and AI for Engineering and Smart Manufacturing
About the Project Overview We are thrilled to announce an exceptional PhD opportunity in the dynamic fields of Statistics and Artificial Intelligence, specifically tailored for Engineering and Smart Manufacturing. This … Read More Read More
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Rozy YoungRobust, scalable statistical learning for dynamic network data
Robust, scalable statistical learning for dynamic network data
About the Project This project is one of a number that are in competition for funding from the University of Bath URSA competition for entry in September 2025. Overview of … Read More Read More
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Elham PourbakhshData linkage and analysis without a unique identifier in clinical trials.
Data linkage and analysis without a unique identifier in clinical trials.
About the Project Background to the project Conducting pragmatic trials and utilising routinely collected data in clinical trials is becoming more common. Usually, a unique identifier (for example NHS number) … Read More Read More
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Fredrik DavidPhD in Memory effects in forest carbon cycle at University of Nevada-Las Vegas
PhD in Memory effects in forest carbon cycle at University of Nevada-Las Vegas
The PhD student would quantify the magnitude and duration of climate legacies on tree growth and carbon fluxes across National Ecological Observatory Network (NEON) sites in the western US. A … Read More Read More
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Bernard McDougallFully funded PhD position at the University of British Columbia Okanagan: Wildlife population and space-use ecology
Fully funded PhD position at the University of British Columbia Okanagan: Wildlife population and space-use ecology
This position will be based at the Department of Biology, Irving K. Barber Faculty of Science, the University of British Columbia, Okanagan campus (UBCO), located on the traditional, ancestral, and … Read More Read More
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Jeremy HuntTwo open PhD positions in Mathematical Statistics with non-Euclidean data
Two open PhD positions in Mathematical Statistics with non-Euclidean data
14 Oct 2024 Job Information Organisation/Company Universidad Carlos III de Madrid and Karlsruhe Institute of Technology Department Department of Statistics Research Field Mathematics » Statistics Mathematics » Probability theory Mathematics … Read More Read More
Categories:PhD position on data-driven modeling, uncertainty quantification, and scientific machine learning at University of Calgary
PhD position on data-driven modeling, uncertainty quantification, and scientific machine learning at University of Calgary
Dr. Mustafa Mohamad’s research group at the University of Calgary is seeking MS/PhD/Postdocs students for funded positions focusing on data-driven modeling, uncertainty quantification, and scientific machine learning in renewable energy … Read More Read More
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Helen Jacobs-Lewiss📢 PhD students in machine learning for healthcare, statistics, causal inference, or medical vision-language models at UC Berkeley and UCSF!
📢 PhD students in machine learning for healthcare, statistics, causal inference, or medical vision-language models at UC Berkeley and UCSF!
Please apply if you are interests in machine learning for healthcare, statistics, causal inference, or medical vision-language models.For more details, check out this link: https://docs.google.com/forms/d/e/1FAIpQLScgiULXsOJjsnK2y9av10ztg-gGCLhCX_eybpwHxwYv-ZmJmA/viewform Read More Read More
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