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the project leader in the research project - “Development of automated surface waviness detection and analysis from high-density point clouds”. They will be required to: (a) conduct advanced research on
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, epigenomics, nucleomics, etc.) Multimodal spatial and single-cell data visualization 2D and 3D bioimaging data visualization Data analysis and data management infrastructure for biomedical data visualization
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, including deep eutectic solvents, for protein extraction, off‑taste reduction, and sustainability‑driven process optimisation. Lead the process design for scale-up fractionation and separation from bench-top
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diffraction imaging modalities - topotomography, dark-field X-ray microscopy, and Bragg coherent diffraction imaging - has emerged over the past decade that can resolve 3D defect architectures and strain fields
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-throughput data collection and analysis for feedback into experimental design. This work will support initiatives within theAgile BioFoundry , theJoint BioEnergy Institute , and/or other programs
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· Lead the design and implementation of mixture-of-experts neural architectures and reinforcement learning pipelines for counterfactual disease trajectory simulation for EMED, an NIH-funded multi-modal AI
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of bioinformatics principles and sequencing analysis. Strong organizational skills including experience maintaining detailed and accurate records of results and analyzed data. Excellent oral and written communication
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related field. Demonstrated hands-on experience in bacterial genetics, molecular cloning, plasmid design, and strain engineering. Working knowledge of bioinformatics principles and sequencing analysis
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complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation, instrumentation control
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discipline and demonstrated expertise in MRI processing and analysis, supported by first-author publications. You will have strong analytical, programming and scientific writing skills, with experience using