The role This role is open at Senior or Staff Applied Scientist level, with exceptional Applied Scientist candidates also considered. Well assess your experience, skills, and demonstrated capability during the process to confirm the right level. You will
Lead developer for the platform, driving sequence design, RNA folding and RNA stability, with access to proprietary data and a closed loop where designs are synthesised, tested and returned as training data. Interdisciplinary team at the
ROLE OVERVIEW Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10–12 weeks, youll work alongside experienced researchers and mentors to develop models, analyze
Role type: Full-time; Fixed-term (2 years) Faculty: Science School: School of Mathematics and Statistics Salary: Level A: AUD $87,266 – $118,416 p.a. plus 17% super ARC-funded collaboration across three universities / develop cutting-edge stochastic multiscale models
The Role The role This role is open for an Applied Scientist or Senior Applied Scientist level. Well assess your experience, skills, and demonstrated capability during the process to confirm the right level. You will refine tough problems