Research Associate x 2 in Deep Learning for Population Genomics and Biodiversity Forecasting
University of Cambridge
Two Research Associate posts applying deep learning to population genomics and biodiversity forecasting at the University of Cambridge.
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Vacancy terms
- Career stage
- Research associate
- Employment type
- Not stated
- Contract
- Not stated
- Contract ends
- Not stated
- Original contract term
- Fixed-term appointment for up to 3 years.
- Schedule
- Not stated
- Workplace
- Not stated
- FTE
- Not stated
- Salary
- £37,694-£46,049
- Department or school
- Not stated
- Posted
- Not stated
Responsibilities
- Develop and evaluate deep-learning methods
- Work across population genomics and biodiversity research
Qualifications and requirements
Qualifications
- PhD in population genetics, evolutionary biology, or a related discipline
- Strong quantitative background
- Deep-learning experience
- Programming experience with Python and PyTorch or TensorFlow
Requirements
- Apply deep learning methods to population genomics and biodiversity forecasting
Preferred qualifications
- Experience in ecology
- Geospatial analysis
- Environmental modelling
Documents and steps
Documents
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Steps
Use the Apply button on the official Cambridge vacancy page to apply online through the University recruitment system.
Sources behind this vacancy
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Research Associate x 2 in Deep Learning for Population Genomics and Biodiversity Forecasting
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Programme overview and cycle history