Postdoctoral researcher in quantum algorithms and optimization for Life Science applications
Tasks
- Advance quantum computing research projects
- Benchmark hybrid algorithms against classical baselines
- Conduct research in quantum algorithms and quantum information
- Develop hybrid quantum-classical algorithms
- Evaluate models for expressivity training stability scalability resource requirements
- Explore medium to long term quantum algorithms
- Participate in research group teaching
- Publish research in high-impact journals
- Supervise PhD students
Perks/Benefits
Skills/Tech-stack
Adiabatic Quantum Computation | Bioinformatics | Biomaterial Synthesis | Breeding | Classical algorithms | Computational Biology | Genomics | Hybrid Quantum | Hybrid Quantum Classical | Hybrid quantum-classical algorithms | Machine Learning | Materials Science | Optimization | Quantum Algorithms | Quantum Computing | Quantum Information | Quantum Machine Learning | Quantum Walk | Quantum computation | Variational quantum algorithms
Education
Roles
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