Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- University of Oxford;
- AALTO UNIVERSITY
- Plymouth University
- UNIVERSITY OF VIENNA
- Aston University
- Cardiff University
- Durham University
- KINGS COLLEGE LONDON
- King's College London;
- University of Cambridge;
- University of Canterbury, New Zealand;
- University of Lincoln
- 3 more »
- « less
-
Field
-
Are you passionate about using data science and machine learning to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
-
machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
-
the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning
-
machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
-
, machine learning, or data analytics. As a proficient programmer (ideally Python), you will be curiosity-led, with exceptional communication skills, and thrive in a highly interdisciplinary environment. You
-
their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master
-
electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
-
and machine learning models. To be successful in this role, you will have excellent communication skills and written English, strong quantitative and analytical skills, the ability to work creatively
-
and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning
-
connectivity and network neuroscience measures? Can machine learning models trained on high-quality clinical data be adapted to work effectively with lower-quality data from community settings? For more