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to early pilot-scale operation, with a strong emphasis on: High-cell-density and fed-batch cultivation Media and feeding strategy optimisation Process robustness and reproducibility Scale-down and early
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intelligent decision architectures, predictive analytics, and adaptive computational models that can operate in dynamic, uncertain, and high-stakes project environments. The appointee will conduct original
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) to analyse dynamic decision behaviour, rather than focusing solely on predictive or optimisation performance prepare and submit high-quality manuscripts to leading interdisciplinary and high-impact journals
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advanced scientific computational techniques and research related software packages an understanding of modern scientific computing tools, including high-performance and high-throughput computing
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correlations to understand catalytic pathways under high-voltage conditions. Systems Analysis: Perform energy efficiency calculations and scaling analysis to bridge the gap between lab-scale discovery and
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projections. Demonstrated experience in working with large data sets. Strong programming skills (e.g. Python, R) and ideally experience in high-performance computing. Demonstrated ability to work in a team
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, strain construction, high-throughput screening, and strain characterisation to support research objectives. Under broad direction, set up, operate, and demonstrate standard laboratory experiments and
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experimental effort, including superconducting qubit measurements, development of a cryogenic cosmic-ray detector, dilution refrigerator operation, and nanofabrication of radiation-resilient qubit designs, with
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, development of a cryogenic cosmic-ray detector, dilution refrigerator operation, and nanofabrication of radiation-resilient qubit designs, with access to Rigetti Computing 's quantum processor through
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science, especially with transformer models Jax, PyTorch, and/or Julia; with probabilistic programming languages; or with high-dimensional optimization and inference in physics contexts. Essential criteria