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12488 - Postdoctoral Fellow in Health Data Science
| Dyddiad hysbysebu: | 20 Mai 2025 |
|---|---|
| Cyflog: | £40,497 i £48,149 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 17 Mehefin 2025 |
| Lleoliad: | Edinburgh, Scotland |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 4 ddiwrnod yr wythnos |
| Cwmni: | University of Edinburgh |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 12488 |
Crynodeb
Grade UE07: £40,497 - £48,149 per annum
CMVM / Institute of Neuroscience and Cardiovascular Research
Full-time: 35 hours per week
Fixed-term: 17 months
The Opportunity:
We are looking for an exceptionally talented and motivated data scientist to take up a fully funded position as a Postdoctoral Research Associate (PDRA) as part of a British Heart Foundation Project Grant: “Artificial Intelligence to Improve the Diagnosis of Acute Cardiac Conditions in Clinical Practice,” led by Dr Dimitrios Doudesis.
The post-holder will be responsible for conducting and supporting original research, focusing on the use of health data for the development of clinical decision-support tools in acute cardiovascular care using advanced machine learning techniques, including deep learning.
Informal enquiries may be directed to Dr Dimitrios Doudesis, Principal Investigator (Dimitrios.Doudesis@ed.ac.uk).
The salary for this post is £40,497 to £48,149 per annum.
Your skills and attributes for success:
The ability to use mainstream data science programming languages (such as R and Python) for data extraction, transferring and transforming data, and statistical data analysis.
Experience in using one or more statistical software packages (e.g. R or similar).
Experience working with routinely collected cardiovascular health data.
Understanding and/or experience of machine and deep learning (e.g. XGBoost, convolutional neural networks etc.).
Flexible, enthusiastic and confident in relating to colleagues of varying levels of seniority. The ability to work well as part of a team.
CMVM / Institute of Neuroscience and Cardiovascular Research
Full-time: 35 hours per week
Fixed-term: 17 months
The Opportunity:
We are looking for an exceptionally talented and motivated data scientist to take up a fully funded position as a Postdoctoral Research Associate (PDRA) as part of a British Heart Foundation Project Grant: “Artificial Intelligence to Improve the Diagnosis of Acute Cardiac Conditions in Clinical Practice,” led by Dr Dimitrios Doudesis.
The post-holder will be responsible for conducting and supporting original research, focusing on the use of health data for the development of clinical decision-support tools in acute cardiovascular care using advanced machine learning techniques, including deep learning.
Informal enquiries may be directed to Dr Dimitrios Doudesis, Principal Investigator (Dimitrios.Doudesis@ed.ac.uk).
The salary for this post is £40,497 to £48,149 per annum.
Your skills and attributes for success:
The ability to use mainstream data science programming languages (such as R and Python) for data extraction, transferring and transforming data, and statistical data analysis.
Experience in using one or more statistical software packages (e.g. R or similar).
Experience working with routinely collected cardiovascular health data.
Understanding and/or experience of machine and deep learning (e.g. XGBoost, convolutional neural networks etc.).
Flexible, enthusiastic and confident in relating to colleagues of varying levels of seniority. The ability to work well as part of a team.